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Hydrological drought forecasting plays a substantial role in water resources management. Hydrological drought highly affects the water allocation and hydropower generation. In this research, short term hydrological drought forecasted based on the hybridized of novel nature-inspired optimization algorithms and Artificial Neural Networks (ANN). For this purpose, the Standardized Hydrological Drought Index (SHDI) and the Standardized Precipitation Index (SPI) were calculated in one, three, and six aggregated months. Then, three states where proposed for SHDI forecasting, and 36 input-output combinations were extracted based on the cross-correlation analysis. In the next step, newly proposed optimization algorithms, including Grasshopper Optimization Algorithm (GOA), Salp Swarm algorithm (SSA), Biogeography-based optimization (BBO), and Particle Swarm Optimization (PSO) hybridized with the ANN were utilized for SHDI forecasting and the results compared to the conventional ANN. Results indicated that the hybridized model outperformed compared to the conventional ANN. PSO performed better than the other optimization algorithms. The best models forecasted SHDI1 with R2 = 0.68 and RMSE = 0.58, SHDI3 with R 2 = 0.81 and RMSE = 0.45 and SHDI6 with R 2 = 0.82 and RMSE = 0.40.
In Germany, bridges have an average age of 40 years. A bridge consumes between 0.4% and 2% of its construction cost per year over its entire life cycle. This means that up to 80% of the construction cost are additionally needed for operation, inspection, maintenance, and destruction. Current practices rely either on paperbased inspections or on abstract specialist software. Every application in the inspection and maintenance sector uses its own data model for structures, inspections, defects, and maintenance. Due to this, data and properties have to be transferred manually, otherwise a converter is necessary for every data exchange between two applications. To overcome this issue, an adequate model standard for inspections, damage, and maintenance is necessary. Modern 3D models may serve as a single source of truth, which has been suggested in the Building Information Modeling (BIM) concept. Further, these models offer a clear visualization of the built infrastructure, and improve not only the planning and construction phases, but also the operation phase of construction projects. BIM is established mostly in the Architecture, Engineering, and Construction (AEC) sector to plan and construct new buildings. Currently, BIM does not cover the whole life cycle of a building, especially not inspection and maintenance. Creating damage models needs the building model first, because a defect is dependent on the building component, its properties and material. Hence, a building information model is necessary to obtain meaningful conclusions from damage information. This paper analyzes the requirements, which arise from practice, and the research that has been done in modeling damage and related information for bridges. With a look at damage categories and use cases related to inspection and maintenance, scientific literature is discussed and synthesized. Finally, research gaps and needs are identified and discussed.
Der Beitrag verbindet die Diskussion um die postpolitische Stadt mit der zunehmenden wissenschaftlichen und aktivistischen Auseinandersetzung mit dem Anthropozän, ein Konzept, das die ökologischen und sozialpolitischen Implikationen menschlichen Handelns auf die Erdoberfläche beschreibt. Anhand von drei ausgewählten Fallstudien erkunden wir,
wie die spezifisch anthropogene, also menschengemachte, Krise urbaner Luftverschmutzung in künstlerischen Positionen problematisiert wird. Im Kontext des potenziellen Vormarschs von Postpolitik besprechen wir, wie der ambivalente Diskurs des Anthropozäns einerseits Depolitisierung begünstigt und andererseits neue Möglichkeiten für die Repolitisierung
globaler Umweltherausforderungen ermöglicht.
Conventional superplasticizers based on polycarboxylate ether (PCE) show an intolerance to clay minerals due to intercalation of their polyethylene glycol (PEG) side chains into the interlayers of the clay mineral. An intolerance to very basic media is also known. This makes PCE an unsuitable choice as a superplasticizer for geopolymers. Bio-based superplasticizers derived from starch showed comparable effects to PCE in a cementitious system. The aim of the present study was to determine if starch superplasticizers (SSPs) could be a suitable additive for geopolymers by carrying out basic investigations with respect to slump, hardening, compressive and flexural strength, shrinkage, and porosity. Four SSPs were synthesized, differing in charge polarity and specific charge density. Two conventional PCE superplasticizers, differing in terms of molecular structure, were also included in this study. The results revealed that SSPs improved the slump of a metakaolin-based geopolymer (MK-geopolymer) mortar while the PCE investigated showed no improvement. The impact of superplasticizers on early hardening (up to 72 h) was negligible. Less linear shrinkage over the course of 56 days was seen for all samples in comparison with the reference. Compressive strengths of SSP specimens tested after 7 and 28 days of curing were comparable to the reference, while PCE led to a decline. The SSPs had a small impact on porosity with a shift to the formation of more gel pores while PCE caused an increase in porosity. Throughout this research, SSPs were identified as promising superplasticizers for MK-geopolymer mortar and concrete.
Die derzeitige Wohnungskrise hat eine sozial-ökologische Kernproblematik. Dabei ist die sozial ungerechte und ökologisch problematische Verteilung von Wohnfläche meist unsichtbar und wird weder in wissenschaftlichen noch in aktivistischen Kontexten ausreichend als Frage der Flächengerechtigkeit problematisiert. Denn Wohnraum und Fläche in einer Stadt sind keine endlos verfügbaren Güter: Wenn einige Menschen auf viel Raum leben, bleibt für andere Menschen weniger Fläche übrig. Und die Menschen, die am wenigstens für eine Verknappung von Wohnraum verantwortlich sind, leiden am meisten darunter. Dieser Artikel arbeitet zunächst den Begriff der Wohnflächengerechtigkeit heraus, wobei auf die Ungleichverteilung von Wohnfläche und deren gesellschaftliche Implikationen unter derzeitigen Wohnungsverteilungsmechanismen Bezug genommen wird. Anschließend wird der Verbrauch von (Wohn-)Fläche aus ökologischer Perspektive problematisiert. Der Artikel diskutiert scheinbare und transformationsorientierte Lösungs- und Handlungsansätze. Abschließend fordert er in der kritischen Stadtforschung und in aktivistischen Kontexten eine stärkere Debatte um eine Wohnflächengerechtigkeit, deren Verwirklichung gleichermaßen eine soziale wie ökologische Dimension hat.
Matthias Bernt und Andrej Holm weisen zu Recht darauf hin, dass es einer Forschung zu ostdeutschen Städten als konzeptionell eigenständigem Feld bedarf, die die spezifische Verräumlichung des tiefgreifenden gesellschaftlichen Transformationsprozesses nach 1990 ins Zentrum stellt. Dabei betrachten sie insbesondere das Feld des Wohnens als produktiv, um Kenntnis über die Struktur und Wirkung dieses Prozesses zu erlangen. Allerdings bleiben sie vage dabei, wie eine solche spezifisch auf Ostdeutschland gerichtete Wohnungsforschung zu konzipieren wäre und in welcher Weise die Besonderheiten und Parallelitäten ostdeutscher Entwicklungen zu den Transformationen von Wohnungs- und Stadtentwicklungspolitik in Westdeutschland, aber auch international, in Bezug zu setzen wären.
Hans Ruin: Being with the Dead—Burial, ancestral politics, and the roots of historical consciousness
(2020)
How can society be thought of as something in which the living and the dead interact throughout history? In Being with the Dead. Burial, Ancestral Politics, and the Roots of Historical Consciousness, Hans Ruin turns to the relationship between the living and the dead as well as ‘historical consciousness’. He is referring to the expression ‘being with the dead’ (Mitsein mit dem Toten). Rather en passant, Martin Heidegger (1962: 282) shaped this existential-ontological term, which so far has hardly received any consideration. But for Ruin, it now forms the starting point for his “expanded phenomenological social ontology” (p. XI). By illuminating history and historical consciousness with the category ‘being with the dead,’ he gains remarkable insights into the meaning of ancestrality. Concerning ‘necropolitics,’ Ruin shows that the political space includes the living as well as the dead and how they constitute it. The foci of his considerations are the human sciences, above all sociology, anthropology, archaeology, philology and history. Ruin’s book aims at a “metacritical thanatology,” which he elaborates as “an exploration of the social ontology of being with the dead mediated through critical analyses of the human-historical sciences themselves” (p. XII). As a result, in a total of seven chapters, he succeeds astonishingly in emphasizing the political and ethical importance of a scientific gaze that cultivates the interaction of the living and the dead.
Die Verbindung der sozialen und der ökologischen Frage ist eine der zentralen Herausforderungen linker Politik und kritisch-engagierter Wissenschaft heute. Dafür, wie wenig das bisher gelingt, sind die öffentlichen und wissenschaftlichen Diskussionen um die Wohnungsfrage gute Beispiele. Dieser Aufruf ist eine Einladung an den kollektiven Wissensschatz aus Wissenschaft und Aktivismus, die unterschiedlichen Aspekte der ökologischen Wohnungsfrage, die bisher stark fragmentiert behandelt werden, in einzelnen Beiträgen weiter auszuführen und auf ihren strukturellen Zusammenhang mit der sozialen Wohnungsfrage hin zu beleuchten.
Prediction of the groundwater nitrate concentration is of utmost importance for pollution control and water resource management. This research aims to model the spatial groundwater nitrate concentration in the Marvdasht watershed, Iran, based on several artificial intelligence methods of support vector machine (SVM), Cubist, random forest (RF), and Bayesian artificial neural network (Baysia-ANN) machine learning models. For this purpose, 11 independent variables affecting groundwater nitrate changes include elevation, slope, plan curvature, profile curvature, rainfall, piezometric depth, distance from the river, distance from residential, Sodium (Na), Potassium (K), and topographic wetness index (TWI) in the study area were prepared. Nitrate levels were also measured in 67 wells and used as a dependent variable for modeling. Data were divided into two categories of training (70%) and testing (30%) for modeling. The evaluation criteria coefficient of determination (R2), mean absolute error (MAE), root mean square error (RMSE), and Nash–Sutcliffe efficiency (NSE) were used to evaluate the performance of the models used. The results of modeling the susceptibility of groundwater nitrate concentration showed that the RF (R2 = 0.89, RMSE = 4.24, NSE = 0.87) model is better than the other Cubist (R2 = 0.87, RMSE = 5.18, NSE = 0.81), SVM (R2 = 0.74, RMSE = 6.07, NSE = 0.74), Bayesian-ANN (R2 = 0.79, RMSE = 5.91, NSE = 0.75) models. The results of groundwater nitrate concentration zoning in the study area showed that the northern parts of the case study have the highest amount of nitrate, which is higher in these agricultural areas than in other areas. The most important cause of nitrate pollution in these areas is agriculture activities and the use of groundwater to irrigate these crops and the wells close to agricultural areas, which has led to the indiscriminate use of chemical fertilizers by irrigation or rainwater of these fertilizers is washed and penetrates groundwater and pollutes the aquifer.
Image Analysis Using Human Body Geometry and Size Proportion Science for Action Classification
(2020)
Gestures are one of the basic modes of human communication and are usually used to represent different actions. Automatic recognition of these actions forms the basis for solving more complex problems like human behavior analysis, video surveillance, event detection, and sign language recognition, etc. Action recognition from images is a challenging task as the key information like temporal data, object trajectory, and optical flow are not available in still images. While measuring the size of different regions of the human body i.e., step size, arms span, length of the arm, forearm, and hand, etc., provides valuable clues for identification of the human actions. In this article, a framework for classification of the human actions is presented where humans are detected and localized through faster region-convolutional neural networks followed by morphological image processing techniques. Furthermore, geometric features from human blob are extracted and incorporated into the classification rules for the six human actions i.e., standing, walking, single-hand side wave, single-hand top wave, both hands side wave, and both hands top wave. The performance of the proposed technique has been evaluated using precision, recall, omission error, and commission error. The proposed technique has been comparatively analyzed in terms of overall accuracy with existing approaches showing that it performs well in contrast to its counterparts.
This paper proposes a practice-theoretical journalism research approach for an alternate and innovative perspective of digital journalism’s current empirical challenges. The practice-theoretical approach is introduced by demonstrating its explanatory power in relation to demarcation problems, technological changes, economic challenges and challenges to journalism’s legitimacy. Its respective advantages in dealing with these problems are explained and then compared to established journalism theories. The particular relevance of the theoretical perspective is due to (1) its central decision to observe journalistic practices, (2) the transgression of conventional journalistic boundaries, (3) the denaturalization of journalistic norms and laws, (4) the explicit consideration of a material, socio-technical dimension of journalism, (5) a focus on the conflicting relationship between journalistic practices and media management practices, and (6) prioritizing order generation over stability.
This study investigates the performance of two systems: personalized ventilation (PV) and ductless personalized ventilation (DPV). Even though the literature indicates a compelling performance of PV, it is not often used in practice due to its impracticality. Therefore, the present study assesses the possibility of replacing the inflexible PV with DPV in office rooms equipped with displacement ventilation (DV) in the summer season. Numerical simulations were utilized to evaluate the inhaled concentration of pollutants when PV and DPV are used. The systems were compared in a simulated office with two occupants: a susceptible occupant and a source occupant. Three types of pollution were simulated: exhaled infectious air, dermally emitted contamination, and room contamination from a passive source. Results indicated that PV improved the inhaled air quality regardless of the location of the pollution source; a higher PV supply flow rate positively impacted the inhaled air quality. Contrarily, the performance of DPV was highly sensitive to the source location and the personalized flow rate. A higher DPV flow rate tends to decrease the inhaled air quality due to increased mixing of pollutants in the room. Moreover, both systems achieved better results when the personalized system of the source occupant was switched off.
In this research, an attempt was made to reduce the dimension of wavelet-ANFIS/ANN (artificial neural network/adaptive neuro-fuzzy inference system) models toward reliable forecasts as well as to decrease computational cost. In this regard, the principal component analysis was performed on the input time series decomposed by a discrete wavelet transform to feed the ANN/ANFIS models. The models were applied for dissolved oxygen (DO) forecasting in rivers which is an important variable affecting aquatic life and water quality. The current values of DO, water surface temperature, salinity, and turbidity have been considered as the input variable to forecast DO in a three-time step further. The results of the study revealed that PCA can be employed as a powerful tool for dimension reduction of input variables and also to detect inter-correlation of input variables. Results of the PCA-wavelet-ANN models are compared with those obtained from wavelet-ANN models while the earlier one has the advantage of less computational time than the later models. Dealing with ANFIS models, PCA is more beneficial to avoid wavelet-ANFIS models creating too many rules which deteriorate the efficiency of the ANFIS models. Moreover, manipulating the wavelet-ANFIS models utilizing PCA leads to a significant decreasing in computational time. Finally, it was found that the PCA-wavelet-ANN/ANFIS models can provide reliable forecasts of dissolved oxygen as an important water quality indicator in rivers.
Self-healing materials have recently become more popular due to their capability to autonomously and autogenously repair the damage in cementitious materials. The concept of self-healing gives the damaged material the ability to recover its stiffness. This gives a difference in comparing with a material that is not subjected to healing. Once this material is damaged, it cannot sustain loading due to the stiffness degradation. Numerical modeling of self-healing materials is still in its infancy. Multiple experimental researches were conducted in literature to describe the behavior of self-healing of cementitious materials. However, few numerical investigations were undertaken.
The thesis presents an analytical framework of self-healing and super healing materials based on continuum damage-healing mechanics. Through this framework, we aim to describe the recovery and strengthening of material stiffness and strength. A simple damage healing law is proposed and applied on concrete material. The proposed damage-healing law is based on a new time-dependent healing variable. The damage-healing model is applied on isotropic concrete material at the macroscale under tensile load. Both autonomous and autogenous self-healing mechanisms are simulated under different loading conditions. These two mechanisms are denoted in the present work by coupled and uncoupled self-healing mechanisms, respectively. We assume in the coupled self-healing that the healing occurs at the same time with damage evolution, while we assume in the uncoupled self-healing that the healing occurs when the material is deformed and subjected to a rest period (damage is constant). In order to describe both coupled and uncoupled healing mechanisms, a one-dimensional element is subjected to different types of loading history.
In the same context, derivation of nonlinear self-healing theory is given, and comparison of linear and nonlinear damage-healing models is carried out using both coupled and uncoupled self-healing mechanisms. The nonlinear healing theory includes generalized nonlinear and quadratic healing models. The healing efficiency is studied by varying the values of the healing rest period and the parameter describing the material characteristics. In addition, theoretical formulation of different self-healing variables is presented for both isotropic and anisotropic maerials. The healing variables are defined based on the recovery in elastic modulus, shear modulus, Poisson's ratio, and bulk modulus. The evolution of the healing variable calculated based on cross-section as function of the healing variable calculated based on elastic stiffness is presented in both hypotheses of elastic strain equivalence and elastic energy equivalence. The components of the fourth-rank healing tensor are also obtained in the case of isotropic elasticity, plane stress and plane strain.
Recent research revealed that self-healing presents a crucial solution also for the strengthening of the materials. This new concept has been termed ``Super Healing``. Once the stiffness of the material is recovered, further healing can result as a strengthening material. In the present thesis, new theory of super healing materials is defined in isotropic and anisotropic cases using sound mathematical and mechanical principles which are applied in linear and nonlinear super healing theories. Additionally, the link of the proposed theory with the theory of undamageable materials is outlined. In order to describe the super healing efficiency in linear and nonlinear theories, the ratio of effective stress to nominal stress is calculated as function of the super healing variable. In addition, the hypotheses of elastic strain and elastic energy equivalence are applied. In the same context, new super healing matrix in plane strain is proposed based on continuum damage-healing mechanics.
In the present work, we also focus on numerical modeling of impact behavior of reinforced concrete slabs using the commercial finite element package Abaqus/Explicit. Plain and reinforced concrete slabs of unconfined compressive strength 41 MPa are simulated under impact of ogive-nosed hard projectile. The constitutive material modeling of the concrete and steel reinforcement bars is performed using the Johnson-Holmquist-2 damage and the Johnson-Cook plasticity material models, respectively. Damage diameters and residual velocities obtained by the numerical model are compared with the experimental results and effect of steel reinforcement and projectile diameter is studied.
The purpose of this study is to develop self-contained methods for obtaining smooth meshes which are compatible with isogeometric analysis (IGA). The study contains three main parts. We start by developing a better understanding of shapes and splines through the study of an image-related problem. Then we proceed towards obtaining smooth volumetric meshes of the given voxel-based images. Finally, we treat the smoothness issue on the multi-patch domains with C1 coupling. Following are the highlights of each part.
First, we present a B-spline convolution method for boundary representation of voxel-based images. We adopt the filtering technique to compute the B-spline coefficients and gradients of the images effectively. We then implement the B-spline convolution for developing a non-rigid images registration method. The proposed method is in some sense of “isoparametric”, for which all the computation is done within the B-splines framework. Particularly, updating the images by using B-spline composition promote smooth transformation map between the images. We show the possible medical applications of our method by applying it for registration of brain images.
Secondly, we develop a self-contained volumetric parametrization method based on the B-splines boundary representation. We aim to convert a given voxel-based data to a matching C1 representation with hierarchical cubic splines. The concept of the osculating circle is employed to enhance the geometric approximation, where it is done by a single template and linear transformations (scaling, translations, and rotations) without the need for solving an optimization problem. Moreover, we use the Laplacian smoothing and refinement techniques to avoid irregular meshes and to improve mesh quality. We show with several examples that the method is capable of handling complex 2D and 3D configurations. In particular, we parametrize the 3D Stanford bunny which contains irregular shapes and voids.
Finally, we propose the B´ezier ordinates approach and splines approach for C1 coupling. In the first approach, the new basis functions are defined in terms of the B´ezier Bernstein polynomials. For the second approach, the new basis is defined as a linear combination of C0 basis functions. The methods are not limited to planar or bilinear mappings. They allow the modeling of solutions to fourth order partial differential equations (PDEs) on complex geometric domains, provided that the given patches are G1
continuous. Both methods have their advantages. In particular, the B´ezier approach offer more degree of freedoms, while the spline approach is more computationally efficient. In addition, we proposed partial degree elevation to overcome the C1-locking issue caused by the over constraining of the solution space. We demonstrate the potential of the resulting C1 basis functions for application in IGA which involve fourth order PDEs such as those appearing in Kirchhoff-Love shell models, Cahn-Hilliard phase field application, and biharmonic problems.
Der Forschungsgegenstand dieser Arbeit basiert auf einer phänomenologischen Beobachtung internationaler fotografischer Positionen des Selbstportraits, welche seit den 1960er-Jahren verwandte Inhalte, gleichartige bildästhetische Merkmale und ähnliche Prozesse im fotografischen Herstellungsprozess aufweisen. Gemeinsam haben die in dieser Arbeit besprochenen Künstler*innen, dass sich ihre Bildwerdung am eigenen Körper vollzieht und an einen durch Bewegung gekennzeichneten Handlungsablauf geknüpft ist. Die jeweilige Bildsprache weist eine ephemere Ästhetik aus, in welcher inhaltlich sowohl der physische als auch der philosophisch gemeinte Begriff des (Los-)lassens eine Rolle spielt. Die künstlerischen Positionen, die Gegenstand dieser Ph.D.-Arbeit sind, umfassen Arbeiten von Bas Jan Ader (1942 – 1975), Francesca Woodman (1958 – 1981), Bernhard (1937 – 2011) und Anna Blume (*1937), Antoine d’Agata (*1961) und Tom Pope (*1986).
Die Ruine der Barfüßerkirche in Erfurt stellt eine der letzten Erinnerungen an die Zerstörungen der Stadt im Zweiten Weltkrieg dar. Sie wird bis heute temporär und saisonal kulturell genutzt. Im Rahmen eines Studienprojektes im Sommersemester 2019 wurden an der Bauhaus-Universität Weimar, betreut durch die Professur Denkmalpflege und Baugeschichte und unterstützt vom Initiativkreis Barfüßerkirche, Nutzungskonzepte für ein Museum für Mittelalterkunst und für einen Tagungsort untersucht. Der vorliegende Band dokumentiert die 14 studentischen Entwürfe, die für ein Weiterbauen an der Barfüßerkirche entstanden sind.
Why Do Digital Native News Media Fail? An Investigation of Failure in the Early Start-Up Phase
(2020)
Digital native news media have great potential for improving journalism. Theoretically, they can be the sites where new products, novel revenue streams and alternative ways of organizing digital journalism are discovered, tested, and advanced. In practice, however, the situation appears to be more complicated. Besides the normal pressures facing new businesses, entrepreneurs in digital news are faced with specific challenges. Against the background of general and journalism specific entrepreneurship literature, and in light of a practice–theoretical approach, this qualitative case study research on 15 German digital native news media outlets empirically investigates what barriers curb their innovative capacity in the early start-up phase. In the new media organizations under study here, there are—among other problems—a high degree of homogeneity within founding teams, tensions between journalistic and economic practices, insufficient user orientation, as well as a tendency for organizations to be underfinanced. The patterns of failure investigated in this study can raise awareness, help news start-ups avoid common mistakes before actually entering the market, and help industry experts and investors to realistically estimate the potential of new ventures within the digital news industry.
Earthquake is among the most devastating natural disasters causing severe economical, environmental, and social destruction. Earthquake safety assessment and building hazard monitoring can highly contribute to urban sustainability through identification and insight into optimum materials and structures. While the vulnerability of structures mainly depends on the structural resistance, the safety assessment of buildings can be highly challenging. In this paper, we consider the Rapid Visual Screening (RVS) method, which is a qualitative procedure for estimating structural scores for buildings suitable for medium- to high-seismic cases. This paper presents an overview of the common RVS methods, i.e., FEMA P-154, IITK-GGSDMA, and EMPI. To examine the accuracy and validation, a practical comparison is performed between their assessment and observed damage of reinforced concrete buildings from a street survey in the Bingöl region, Turkey, after the 1 May 2003 earthquake. The results demonstrate that the application of RVS methods for preliminary damage estimation is a vital tool. Furthermore, the comparative analysis showed that FEMA P-154 creates an assessment that overestimates damage states and is not economically viable, while EMPI and IITK-GGSDMA provide more accurate and practical estimation, respectively.
Rapid Visual Screening (RVS) is a procedure that estimates structural scores for buildings and prioritizes their retrofit and upgrade requirements. Despite the speed and simplicity of RVS, many of the collected parameters are non-commensurable and include subjectivity due to visual observations. This might cause uncertainties in the evaluation, which emphasizes the use of a fuzzy-based method. This study aims to propose a novel RVS methodology based on the interval type-2 fuzzy logic system (IT2FLS) to set the priority of vulnerable building to undergo detailed assessment while covering uncertainties and minimizing their effects during evaluation. The proposed method estimates the vulnerability of a building, in terms of Damage Index, considering the number of stories, age of building, plan irregularity, vertical irregularity, building quality, and peak ground velocity, as inputs with a single output variable. Applicability of the proposed method has been investigated using a post-earthquake damage database of reinforced concrete buildings from the Bingöl and Düzce earthquakes in Turkey.
Pressure fluctuations beneath hydraulic jumps potentially endanger the stability of stilling basins. This paper deals with the mathematical modeling of the results of laboratory-scale experiments to estimate the extreme pressures. Experiments were carried out on a smooth stilling basin underneath free hydraulic jumps downstream of an Ogee spillway. From the probability distribution of measured instantaneous pressures, pressures with different probabilities could be determined. It was verified that maximum pressure fluctuations, and the negative pressures, are located at the positions near the spillway toe. Also, minimum pressure fluctuations are located at the downstream of hydraulic jumps. It was possible to assess the cumulative curves of pressure data related to the characteristic points along the basin, and different Froude numbers. To benchmark the results, the dimensionless forms of statistical parameters include mean pressures (P*m), the standard deviations of pressure fluctuations (σ*X), pressures with different non-exceedance probabilities (P*k%), and the statistical coefficient of the probability distribution (Nk%) were assessed. It was found that an existing method can be used to interpret the present data, and pressure distribution in similar conditions, by using a new second-order fractional relationships for σ*X, and Nk%. The values of the Nk% coefficient indicated a single mean value for each probability.
Cooling Performance of a Novel Circulatory Flow Concentric Multi-Channel Heat Sink with Nanofluids
(2020)
Heat rejection from electronic devices such as processors necessitates a high heat removal rate. The present study focuses on liquid-cooled novel heat sink geometry made from four channels (width 4 mm and depth 3.5 mm) configured in a concentric shape with alternate flow passages (slot of 3 mm gap). In this study, the cooling performance of the heat sink was tested under simulated controlled conditions.The lower bottom surface of the heat sink was heated at a constant heat flux condition based on dissipated power of 50 W and 70 W. The computations were carried out for different volume fractions of nanoparticles, namely 0.5% to 5%, and water as base fluid at a flow rate of 30 to 180 mL/min. The results showed a higher rate of heat rejection from the nanofluid cooled heat sink compared with water. The enhancement in performance was analyzed with the help of a temperature difference of nanofluid outlet temperature and water outlet temperature under similar operating conditions. The enhancement was ~2% for 0.5% volume fraction nanofluids and ~17% for a 5% volume fraction.
Along with environmental pollution, urban planning has been connected to public health. The research indicates that the quality of built environments plays an important role in reducing mental disorders and overall health. The structure and shape of the city are considered as one of the factors influencing happiness and health in urban communities and the type of the daily activities of citizens. The aim of this study was to promote physical activity in the main structure of the city via urban design in a way that the main form and morphology of the city can encourage citizens to move around and have physical activity within the city. Functional, physical, cultural-social, and perceptual-visual features are regarded as the most important and effective criteria in increasing physical activities in urban spaces, based on literature review. The environmental quality of urban spaces and their role in the physical activities of citizens in urban spaces were assessed by using the questionnaire tool and analytical network process (ANP) of structural equation modeling. Further, the space syntax method was utilized to evaluate the role of the spatial integration of urban spaces on improving physical activities. Based on the results, consideration of functional diversity, spatial flexibility and integration, security, and the aesthetic and visual quality of urban spaces plays an important role in improving the physical health of citizens in urban spaces. Further, more physical activities, including motivation for walking and the sense of public health and happiness, were observed in the streets having higher linkage and space syntax indexes with their surrounding texture.
In conjunction with the improved methods of monitoring damage and degradation processes, the interest in reliability assessment of reinforced concrete bridges is increasing in recent years. Automated imagebased inspections of the structural surface provide valuable data to extract quantitative information about deteriorations, such as crack patterns. However, the knowledge gain results from processing this information in a structural context, i.e. relating the damage artifacts to building components. This way, transformation to structural analysis is enabled. This approach sets two further requirements: availability of structural bridge information and a standardized storage for interoperability with subsequent analysis tools. Since the involved large datasets are only efficiently processed in an automated manner, the implementation of the complete workflow from damage and building data to structural analysis is targeted in this work. First, domain concepts are derived from the back-end tasks: structural analysis, damage modeling, and life-cycle assessment. The common interoperability format, the Industry Foundation Class (IFC), and processes in these domains are further assessed. The need for usercontrolled interpretation steps is identified and the developed prototype thus allows interaction at subsequent model stages. The latter has the advantage that interpretation steps can be individually separated into either a structural analysis or a damage information model or a combination of both. This approach to damage information processing from the perspective of structural analysis is then validated in different case studies.
Abstract In the first part of this research, the utilization of tuned mass dampers in the vibration control of tall buildings during earthquake excitations is studied. The main issues such as optimizing the parameters of the dampers and studying the effects of frequency content of the target earthquakes are addressed.
Abstract The non-dominated sorting genetic algorithm method is improved by upgrading generic operators, and is utilized to develop a framework for determining the optimum placement and parameters of dampers in tall buildings. A case study is presented in which the optimal placement and properties of dampers are determined for a model of a tall building under different earthquake excitations through computer simulations.
Abstract In the second part, a novel framework for the brain learning-based intelligent seismic control of smart structures is developed. In this approach, a deep neural network learns how to improve structural responses during earthquake excitations using feedback control.
Abstract Reinforcement learning method is improved and utilized to develop a framework for training the deep neural network as an intelligent controller. The efficiency of the developed framework is examined through two case studies including a single-degree-of-freedom system and a high-rise building under different earthquake excitation records.
Abstract The results show that the controller gradually develops an optimum control policy to reduce the vibrations of a structure under an earthquake excitation through a cyclical process of actions and observations.
Abstract It is shown that the controller efficiently improves the structural responses under new earthquake excitations for which it was not trained. Moreover, it is shown that the controller has a stable performance under uncertainties.
The "Stapelhaus": Experimental building project on the campus of the Bauhaus-Universität Weimar
(2020)
The project is a cooperation between the bauhaus.ifex and MFPA Weimar and is intended to develop step by step as an experimental student village. Special focus is given to sustainability and construction using different building materials. For the construction of the first room module, CemCel was chosen as a new, lightweight and fibre-based building material.
Die Sicherstellung der medizinischen Versorgung in der Bundesrepublik wird seit einigen Jahren verstärkt diskutiert. Besonders in ländliche Regionen ist die Gewährleistung einer bedarfsgerechten medizinischen Versorgung problematisch. Längst ist dies zu einem gesamtgesellschaftlichen Thema geworden. Die Bachelorarbeit von Lena Wild untersucht die Schnittstelle von räumlicher Planung und medizinischer Planung mit der Frage „Inwiefern leisten die derzeitigen Planungen und Förderprogramme einen positiven Beitrag zur Sicherstellung der medizinischen Versorgung im ländlichen Raum Thüringens?“
Neben einer Literatur- und Datenanalyse stehen Expert:inneninterviews mit verschiedenen kommunalen und medizinischen Akteur:innen aus ausgewählten Landkreisen in Thüringen im Fokus der Arbeit.
Nach einer Einordnung der medizinischen Versorgung in den Kontext der räumlichen Planung wird eine Übersicht über das Gesundheitssystem der Bundesrepublik und die Besonderheiten in Ostdeutschland gegeben. Darauffolgend werden Instrumente zur Steuerung der medizinischen Versorgung genauer untersucht. Besonders die kassenärztliche Bedarfsplanung als zentrales Steuerungsinstrument und die Fördermöglichkeiten in Thüringen und deren Wirkungsweisen stehen dabei im Fokus. Im Weiteren wird auf ländliche Räume und deren Herausforderungen für die Sicherstellung der medizinischen Versorgung und die Kommunikation und Zusammenarbeit der Akteur:innen eingegangen.
Die Arbeit ist als Exkurs der Raumplanung in eine Fachplanung zu verstehen. Zwischen medizinischer Fachplanung und räumlicher Planung bestehen Wechselwirkungen. Das Kennen von Instrumenten und Wirkungsweisen der anderen Disziplin schafft dabei einen Mehrwert, um gemeinsame Ziele, wie die flächendeckende medizinische Versorgung und damit einhergehend eine nachhaltige räumliche Entwicklung, zu erreichen.
While Public-Private Partnership (PPP) is widely adopted across various sectors, it raises a question on its meagre utilisation in the housing sector. This paper, therefore, gauges the perspective of the stakeholders in the building industry towards the application of PPP in various building sectors together with housing. It assesses the performance reliability of PPP for housing by learning possible take-aways from other sectors. The role of key stakeholders in the industry becomes highly responsible for an informed understanding and decision-making. To this end, a two-tier investigation was conducted including surveys and expert interviews, with several stakeholders in the PPP industry in Europe, involving the public sector, private sector, consultants, as well as other community/user representatives.
The survey results demonstrated the success rate with PPPs, major factors important for PPPs such as profitability or end-user acceptability, the prevalent practices and trends in the PPP world, and the majority of support expressed in favour of the suitability of PPP for housing. The interviews added more detailed dimensions to the understanding of the PPP industry, its functioning and enabling the formation of a comprehensive outlook. The results present the perspective, approaches, and experiences of stakeholders over PPP practices, current trends and scenarios and their take on PPP in housing. It shall aid in understanding the challenges prevalent in the PPP approach for implementation in housing and enable the policymakers and industry stakeholders to make provisions for higher uptake to accelerate housing provision.
Despite digitization and platformization, mass media and established media companies still play a crucial role in the provision of journalistic content in democratic societies. Competition is one key driver of (media) company behavior and is considered to have an impact on the media’s performance. However, theory and empirical research are ambiguous about the relationship. The objective of this article is to empirically analyze the effect of competition on media performance in a cross-national context. We assessed media performance of media companies as the importance of journalistic goals within their stated corporate goal system. We conducted a content analysis of letters to the shareholders in annual reports of more than 50 media companies from 2000 to 2014 to operationalize journalistic goal importance. When employing a fixed effects regression analysis, as well as a fuzzy set qualitative comparative analysis, results suggest that competition has a positive effect on the importance of journalistic goals, while the existence of a strong public service media sector appears to have the effect of “crowding out” commercial media companies.
In this study, a new approach to basis of intelligent systems and machine learning algorithms is introduced for solving singular multi-pantograph differential equations (SMDEs). For the first time, a type-2 fuzzy logic based approach is formulated to find an approximated solution. The rules of the suggested type-2 fuzzy logic system (T2-FLS) are optimized by the square root cubature Kalman filter (SCKF) such that the proposed fineness function to be minimized. Furthermore, the stability and boundedness of the estimation error is proved by novel approach on basis of Lyapunov theorem. The accuracy and robustness of the suggested algorithm is verified by several statistical examinations. It is shown that the suggested method results in an accurate solution with rapid convergence and a lower computational cost.
Die zu beobachtenden kürzeren Produktlebenszyklen und eine schnellere Marktdurchdringung von Produkttechnologien erfordern adaptive und leistungsfähige Produktionsanlagen. Die Adaptivität ermöglicht eine Anpassung der Produktionsanlage an neue Produkte, und die Leistungsfähigkeit der Anlage stellt sicher, dass ausreichend Produkte in kurzer Zeit und zu geringen Kosten hergestellt werden können. Durch eine Modularisierung der Produktionsanlage kann die Adaptivität erreicht werden. Jedoch erfordert heutzutage jede Adaption manuellen Aufwand, z.B. zur Anpassung von proprietären Signalen oder zur Anpassung übergeordneter Funktionen. Dadurch sinkt die Leistungsfähigkeit der Anlage.
Das Ziel dieser Arbeit ist es, die Interoperabilität in Bezug auf die Informationsverwendung in modularen Produktionsanlagen zu gewährleisten. Dazu werden Informationen durch semantische Modelle beschrieben. Damit wird ein einheitlicher Informationszugriff ermöglicht, und übergeordnete Funktionen erhalten Zugriff auf alle Informationen der Produktionsmodule, unabhängig von dem Typ, dem Hersteller und dem Alter des Moduls. Dadurch entfällt der manuelle Aufwand bei Anpassungen des modularen Produktionssystems, wodurch die Leistungsfähigkeit der Anlage gesteigert und Stillstandszeiten reduziert werden.
Nach dem Ermitteln der Anforderungen an einen Modellierungsformalismus wurden potentielle Formalismen mit den Anforderungen abgeglichen. OWL DL stellte sich als geeigneter Formalismus heraus und wurde für die Erstellung des semantischen Modells in dieser Arbeit verwendet. Es wurde exemplarisch ein semantisches Modell für die drei Anwendungsfälle Interaktion, Orchestrierung und Diagnose erstellt. Durch einen Vergleich der Modellierungselemente von unterschiedlichen Anwendungsfällen wurde die Allgemeingültigkeit des Modells bewertet. Dabei wurde gezeigt, dass die Erreichung eines allgemeinen Modells für technische Anwendungsfälle möglich ist und lediglich einige Hundert Begriffe benötigt.
Zur Evaluierung der erstellten Modelle wurde ein wandlungsfähiges Produktionssystem der SmartFactoryOWL verwendet, an dem die Anwendungsfälle umgesetzt wurden. Dazu wurde eine Laufzeitumgebung erstellt, die die semantischen Modelle der einzelnen Module zu einem Gesamtmodell vereint, Daten aus der Anlage in das Modell überträgt und eine Schnittstelle für die Services bereitstellt. Die Services realisieren übergeordnete Funktionen und verwenden die Informationen des semantischen Modells. In allen drei Anwendungsfällen wurden die semantischen Modelle korrekt zusammengefügt und mit den darin enthaltenen Informationen konnte die Aufgabe des jeweiligen Anwendungsfalles ohne zusätzlichen manuellen Aufwand gelöst werden.
Tall buildings have become an integral part of cities despite all their pros and cons. Some current tall buildings have several problems because of their unsuitable location; the problems include increasing density, imposing traffic on urban thoroughfares, blocking view corridors, etc. Some of these buildings have destroyed desirable views of the city. In this research, different criteria have been chosen, such as environment, access, social-economic, land-use, and physical context. These criteria and sub-criteria are prioritized and weighted by the analytic network process (ANP) based on experts’ opinions, using Super Decisions V2.8 software. On the other hand, layers corresponding to sub-criteria were made in ArcGIS 10.3 simultaneously, then via a weighted overlay (map algebra), a locating plan was created. In the next step seven hypothetical tall buildings (20 stories), in the best part of the locating plan, were considered to evaluate how much of theses hypothetical buildings would be visible (fuzzy visibility) from the street and open spaces throughout the city. These processes have been modeled by MATLAB software, and the final fuzzy visibility plan was created by ArcGIS. Fuzzy visibility results can help city managers and planners to choose which location is suitable for a tall building and how much visibility may be appropriate. The proposed model can locate tall buildings based on technical and visual criteria in the future development of the city and it can be widely used in any city as long as the criteria and weights are localized.
Piping erosion is one form of water erosion that leads to significant changes in the landscape and environmental degradation. In the present study, we evaluated piping erosion modeling in the Zarandieh watershed of Markazi province in Iran based on random forest (RF), support vector machine (SVM), and Bayesian generalized linear models (Bayesian GLM) machine learning algorithms. For this goal, due to the importance of various geo-environmental and soil properties in the evolution and creation of piping erosion, 18 variables were considered for modeling the piping erosion susceptibility in the Zarandieh watershed. A total of 152 points of piping erosion were recognized in the study area that were divided into training (70%) and validation (30%) for modeling. The area under curve (AUC) was used to assess the effeciency of the RF, SVM, and Bayesian GLM. Piping erosion susceptibility results indicated that all three RF, SVM, and Bayesian GLM models had high efficiency in the testing step, such as the AUC shown with values of 0.9 for RF, 0.88 for SVM, and 0.87 for Bayesian GLM. Altitude, pH, and bulk density were the variables that had the greatest influence on the piping erosion susceptibility in the Zarandieh watershed. This result indicates that geo-environmental and soil chemical variables are accountable for the expansion of piping erosion in the Zarandieh watershed.
For this paper, the problem of energy/voltage management in photovoltaic (PV)/battery systems was studied, and a new fractional-order control system on basis of type-3 (T3) fuzzy logic systems (FLSs) was developed. New fractional-order learning rules are derived for tuning of T3-FLSs such that the stability is ensured. In addition, using fractional-order calculus, the robustness was studied versus dynamic uncertainties, perturbation of irradiation, and temperature and abruptly faults in output loads, and, subsequently, new compensators were proposed. In several examinations under difficult operation conditions, such as random temperature, variable irradiation, and abrupt changes in output load, the capability of the schemed controller was verified. In addition, in comparison with other methods, such as proportional-derivative-integral (PID), sliding mode controller (SMC), passivity-based control systems (PBC), and linear quadratic regulator (LQR), the superiority of the suggested method was demonstrated.
This paper reports the formation and structure of fast setting geopolymers activated by using three sodium silicate solutions with different modules (1.6, 2.0 and 2.4) and a berlinite-type aluminum orthophosphate. By varying the concentration of the aluminum orthophosphate, different Si/Al-ratios were established (6, 3 and 2). Reaction kinetics of binders were determined by isothermal calorimetric measurements at 20 °C. X-ray diffraction analysis as well as nuclear magnetic resonance (NMR) measurements were performed on binders to determine differences in structure by varying the alkalinity of the sodium silicate solutions and the Si/Al-ratio. The calorimetric results indicated that the higher the alkalinity of the sodium silicate solution, the higher the solubility and degree of conversion of the aluminum orthophosphate. The results of X-ray diffraction and Rietveldt analysis, as well as the NMR measurements, confirmed the assumption of the calorimetric experiments that first the aluminum orthophosphate was dissolved and then a polycondensation to an amorphous aluminosilicate network occurred. The different amounts of amorphous phases formed as a function of the alkalinity of the sodium silicate solution, indicate that tetrahydroxoaluminate species were formed during the dissolution of the aluminum orthophosphate, which reduce the pH value. This led to no further dissolution of the aluminum orthophosphate, which remained unreacted.
A complex artistic research on the theme of cultural heritage and (neo)colonial processes of material and immaterial expropriation. Starting from the encounter with a phonographic relic at the Berliner Phonogramm-Archiv, the artist embarks on a journey to her own roots embodied in the practice of the Afro-Brazilian religion Candomblé. In the form of a theoretical treatise, an archive (photos, diagrams, maps, newspaper clippings, letters, documents), as well as a sound performance in the public space of the city of Weimar, several theoretical and performative elements are brought together in this transmedia artistic research that proposes a true decolonial practice.
In recent years, substantial attention has been devoted to thermoelastic multifield problems and their numerical analysis. Thermoelasticity is one of the important categories of multifield problems which deals with the effect of mechanical and thermal disturbances on an elastic body. In other words, thermoelasticity encompasses the phenomena that describe the elastic and thermal behavior of solids and their interactions under thermo-mechanical loadings. Since providing an analytical solution for general coupled thermoelasticity problems is mathematically complicated, the development of alternative numerical solution techniques seems essential.
Due to the nature of numerical analysis methods, presence of error in results is inevitable, therefore in any numerical simulation, the main concern is the accuracy of the approximation. There are different error estimation (EE) methods to assess the overall quality of numerical approximation. In many real-life numerical simulations, not only the overall error, but also the local error or error in a particular quantity of interest is of main interest. The error estimation techniques which are developed to evaluate the error in the quantity of interest are known as “goal-oriented” error estimation (GOEE) methods.
This project, for the first time, investigates the classical a posteriori error estimation and goal-oriented a posteriori error estimation in 2D/3D thermoelasticity problems. Generally, the a posteriori error estimation techniques can be categorized into two major branches of recovery-based and residual-based error estimators. In this research, application of both recovery- and residual-based error estimators in thermoelasticity are studied. Moreover, in order to reduce the error in the quantity of interest efficiently and optimally in 2D and 3D thermoelastic problems, goal-oriented adaptive mesh refinement is performed.
As the first application category, the error estimation in classical Thermoelasticity (CTE) is investigated. In the first step, a rh-adaptive thermo-mechanical formulation based on goal-oriented error estimation is proposed.The developed goal-oriented error estimation relies on different stress recovery techniques, i.e., the superconvergent patch recovery (SPR), L2-projection patch recovery (L2-PR), and weighted superconvergent patch recovery (WSPR). Moreover, a new adaptive refinement strategy (ARS) is presented that minimizes the error in a quantity of interest and refines the discretization such that the error is equally distributed in the refined mesh. The method is validated by numerous numerical examples where an analytical solution or reference solution is available.
After investigating error estimation in classical thermoelasticity and evaluating the quality of presented error estimators, we extended the application of the developed goal-oriented error estimation and the associated adaptive refinement technique to the classical fully coupled dynamic thermoelasticity. In this part, we present an adaptive method for coupled dynamic thermoelasticity problems based on goal-oriented error estimation. We use dimensionless variables in the finite element formulation and for the time integration we employ the acceleration-based Newmark-_ method. In this part, the SPR, L2-PR, and WSPR recovery methods are exploited to estimate the error in the quantity of interest (QoI). By using
adaptive refinement in space, the error in the quantity of interest is minimized. Therefore, the discretization is refined such that the error is equally distributed in the refined mesh. We demonstrate the efficiency of this method by numerous numerical examples.
After studying the recovery-based error estimators, we investigated the residual-based error estimation in thermoelasticity. In the last part of this research, we present a 3D adaptive method for thermoelastic problems based on goal-oriented error estimation where the error is measured with respect to a pointwise quantity of interest. We developed a method for a posteriori error estimation and mesh adaptation based on dual weighted residual (DWR) method relying on the duality principles and consisting of an adjoint problem solution. Here, we consider the application of the derived estimator and mesh refinement to two-/three-dimensional (2D/3D) thermo-mechanical multifield problems. In this study, the goal is considered to be given by singular pointwise functions, such as the point value or point value derivative at a specific point of interest (PoI). An adaptive algorithm has been adopted to refine the mesh to minimize the goal in the quantity of interest.
The mesh adaptivity procedure based on the DWR method is performed by adaptive local h-refinement/coarsening with allowed hanging nodes. According to the proposed DWR method, the error contribution of each element is evaluated. In the refinement process, the contribution of each element to the goal error is considered as the mesh refinement criterion.
In this study, we substantiate the accuracy and performance of this method by several numerical examples with available analytical solutions. Here, 2D and 3D problems under thermo-mechanical loadings are considered as benchmark problems. To show how accurately the derived estimator captures the exact error in the evaluation of the pointwise quantity of interest, in all examples, considering the analytical solutions, the goal error effectivity index as a standard measure of the quality of an estimator is calculated. Moreover, in order to demonstrate the efficiency of the proposed method and show the optimal behavior of the employed refinement method, the results of different conventional error estimators and refinement techniques (e.g., global uniform refinement, Kelly, and weighted Kelly techniques) are used for comparison.
Die Mahlung als Zerkleinerungsprozess stellt seit den Anfängen der Menschheit eine der wichtigsten Verarbeitungsformen von Materialien aller Art dar - von der Getreidemahlung, über das Aufschließen von Heilkräutern in Mörsern bis hin zur Herstellung von Tonern für Drucker und Kopierer. Besonders die Zementmahlung ist in modernen Gesellschaften sowohl ein wirtschaftlicher als auch ein ökologischer Faktor. Mehr als zwei Drittel der elektrischen Energie der Zementproduktion werden für Rohmehl- und Klinker- bzw. Kompositmaterialmahlung verbraucht. Dies ist nur ein Grund, warum der Mahlprozess zunehmend in den Fokus vieler Forschungs- und Entwicklungsvorhaben rückt. Die Komplexität der Zementmahlung steigt im zunehmenden Maße an. Die simple „Mahlung auf Zementfeinheit“ ist seit langem obsolet. Zemente werden maßgeschneidert, mit verschiedensten Kombinationsprodukten, getrennt oder gemeinsam, in unterschiedlichen Mahlaggregaten oder mit ganz neuen Ansätzen gefertigt. Darüber hinaus gewinnt auch der Sektor des Baustoffrecyclings, mit allen damit verbundenen Herausforderungen, immer mehr an Bedeutung. Bei der Fragestellung, wie der Mahlprozess einerseits leistungsfähige Produkte erzeugen kann und andererseits die zunehmenden Anforderungen an Nachhaltigkeit erfüllt, steht das Mahlaggregat im Mittelpunkt der Betrachtungen. Dementsprechend gliedert sich, neben einer eingehenden Literaturrecherche zum Wissensstand, die vorliegende Arbeit in zwei übergeordnete Teile:
Im ersten Teil werden Untersuchungen an konventionellen Mahlaggregaten mit in der Zementindustrie verwendeten Kernprodukten wie Portlandzementklinker, Kalkstein, Flugasche und Hüttensand angestellt. Um eine möglichst effektive Mahlung von Zement und Kompositmaterialien zu gewährleisten, ist es wichtig, die Auswirkung von Mühlenparametern zu kennen. Hierfür wurde eine umfangreiche Versuchsmatrix aufgestellt und
abgearbeitet. Das Spektrum der Analysemethoden war ebenfalls umfangreich und wurde sowohl auf die gemahlenen Materialien als auch auf die daraus hergestellten Zemente und Betone angewendet. Es konnte gezeigt werden, dass vor allem die Unterscheidung zwischen Mahlkörpermühlen und mahlkörperlosen Mühlen entscheidenden Einfluss auf die Granulometrie und somit auch auf die Zementperformance hat. Besonders stark wurden die Verarbeitungseigenschaften, insbesondere der Wasseranspruch und damit auch das Porengefüge und schließlich Druckfestigkeiten sowie Dauerhaftigkeitseigenschaften der aus diesen Zementen hergestellten Betone, beeinflusst. Bei Untersuchungen zur gemeinsamen Mahlung von Kalkstein und Klinker führten ungünstige Anreicherungseffekte des gut mahlbaren Kalksteins sowie tonigen Nebenbestandteilen zu einer schlechteren Performance in allen Zementprüfungen.
Der zweite Teil widmet sich der Hochenergiemahlung. Die dahinterstehende Technik wird seit Jahrzehnten in anderen Wirtschaftsbranchen, wie der Pharmazie, Biologie oder auch Lebensmittelindustrie angewendet und ist seit einiger Zeit auch in der Zementforschung anzutreffen. Beispielhaft seien hier die Planeten- und Rührwerkskugelmühle als Vertreter genannt. Neben grundlegenden Untersuchungen an Zementklinker
und konventionellen Kompositmaterialien wie Hüttensand und Kalkstein wurde auch die Haupt-Zementklinkerphase Alit untersucht. Die Hochenergiemahlung von konventionellen Kompositmaterialien generierte zusätzliche Reaktivität bei gleicher Granulometrie gegenüber der herkömmlichen Mahlung. Dies wurde vor allem bei per se reaktivem Zementklinker als auch bei latent-hydraulischem Hüttensand beobachtet. Gemahlene Flugaschen konnten nur im geringen Maße weiter aktiviert werden. Der generelle Einfluss von Oberflächenvergrößerung, Strukturdefekten und Relaxationseffekten eines Mahlproduktes wurden eingehend untersucht und gewichtet. Die Ergebnisse bei der Hochenergiemahlung von Alit zeigten, dass die durch Mahlung eingebrachten Strukturdefekte eine Erhöhung der Reaktivität zur Folge haben. Hierbei konnte festgestellt werden, das maßgeblich Oberflächendefekte, strukturelle (Volumen-)defekte und als Konterpart Selbstheilungseffekte die reaktivitätsbestimmenden Faktoren sind. Weiterhin wurden Versuche zur Mahlung von Altbetonbrechsand durchgeführt. Im Speziellen wurde untersucht, inwieweit eine Rückführung von Altbetonbrechsand, als unverwertbarer Teil des Betonbruchs, in Form eines Zement-Kompositmaterials in den Baustoffkreislauf möglich ist. Die hierfür verwendete Mahltechnik umfasst sowohl konventionelle Mühlen als auch Hochenergiemühlen. Es wurden Kompositzemente mit variiertem Recyclingmaterialanteil hergestellt und auf grundlegende Eigenschaften untersucht. Zur Bewertung der Produktqualität wurde der sogenannte „Aktivierungskoeffizient“ eingeführt. Es stellte sich heraus, dass die Rückführung von Altbetonbrechsand als potentielles Kompositmaterial wesentlich vom Anteil des Zementsteins abhängt. So konnte beispielsweise reiner Zementstein als aufgemahlenes Kompositmaterial eine bessere Performance gegenüber dem mit Gesteinskörnung beaufschlagtem Altbetonbrechsand ausweisen. Bezogen auf die gemessenen Hydratationswärmen und Druckfestigkeiten nahm der Aktivierungskoeffzient mit fallendem Abstraktionsgrad ab. Ebenfalls sank der Aktivierungskoeffizient mit steigendem Substitutionsgrad. Als Vergleich wurden dieselben Materialien in konventionellen Mühlen aufbereitet. Die hier erzielten Ergebnisse können teilweise der Hochenergiemahlung als gleichwertig beurteilt werden. Folglich ist bei der Aktivierung von Recyclingmaterialien weniger die Mahltechnik als der Anteil an aktivierbarem Zementstein ausschlaggebend.
Multi-user projection systems provide a coherent 3D interaction space for multiple co-located users that facilitates mutual awareness, full-body interaction, and the coordination of activities. The users perceive the shared scene from their respective viewpoints and can directly interact with the 3D content.
This thesis reports on novel interaction patterns for collaborative 3D interaction for local and distributed user groups based on such multi-user projection environments. A particular focus of our developments lies in the provision of multiple independent interaction territories in our workspaces and their tight integration into collaborative workflows. The motivation for such multi-focus workspaces is grounded in research on social cooperation patterns, specifically in the requirement for supporting phases of loose and tight collaboration and the emergence of dedicated orking territories for private usage and public exchange. We realized independent interaction territories in the form of handheld virtual viewing windows and multiple co-located hardware displays in a joint workspace. They provide independent views of a shared virtual environment and serve as access points for the exploration and manipulation of the 3D content. Their tight integration into our workspace supports fluent transitions between individual work and joint user engagement. The different affordances of various displays in an exemplary workspace consisting of a large 3D wall, a 3D tabletop, and handheld virtual viewing windows, promote different usage scenarios, for instance for views from an egocentric perspective, miniature scene representations, close-up views, or storage and transfer areas. This work shows that this versatile workspace can make the cooperation of multiple people in joint tasks more effective, e.g. by parallelizing activities, distributing subtasks, and providing mutual support.
In order to create, manage, and share virtual viewing windows, this thesis presents the interaction technique of Photoportals, a tangible interface based on the metaphor of digital photography. They serve as configurable viewing territories and enable the individual examination of scene details as well as the immediate sharing of the prepared views. Photoportals are specifically designed to complement other interface facets and provide extended functionality for scene navigation, object manipulation, and for the creation of temporal recordings of activities in the virtual scene.
A further objective of this work is the realization of a coherent interaction space for direct 3D input across the independent interaction territories in multi-display setups. This requires the simultaneous consideration of user input in several potential interaction windows as well as configurable disambiguation schemes for the implicit selection of distinct interaction contexts. We generalized the required implementation structures into a high-level software pattern and demonstrated its versatility by means of various multi-context 3D interaction tools.
Additionally, this work tackles specific problems related to group navigation in multiuser projection systems. Joint navigation of a collocated group of users can lead to unintentional collisions when passing narrow scene sections. In this context, we suggest various solutions that prevent individual collisions during group navigation and discuss their effect on the perceived integrity of the travel group and the 3D scene. For collaboration scenarios involving distributed user groups, we furthermore explored different configurations for joint and individual travel.
Last but not least, this thesis provides detailed information and implementation templates for the realization of the proposed interaction techniques and collaborative workspaces in scenegraph-based VR systems. These contributions to the abstraction of specific interaction patterns, such as group navigation and multi-window interaction, facilitate their reuse in other virtual reality systems and their adaptation to further collaborative scenarios.
Im Rahmen der Dissertation wurde ein Toolboxmodell für transdisziplinäres Wasserressourcenmanagement entwickelt. Das Modell liefert den methodischen Rahmen Wasserressourcen nachhaltig und transdisziplinär zu bewirtschaften.
Der Begriff der Nachhaltigkeit und eine Konkretisierung der nachhaltigen Bewirtschaftung globaler Wasserressourcen scheinen unüberschaubar und suggerieren die Forderung nach einer neuen Weltformel. Die globale Bedeutung der Wasserressourcen, die für Regionen spezifischen Besonderheiten des natürlichen Wasserhaushalts und der anthropogenen Nutzung, die Zeitskala und die Kontextualisierung in alle betroffenen und benachbarten Disziplinen deuten auf die Komplexität der Thematik hin. Es wird eine Systematisierung des Planungsprozesses von Wasserressourcen notwendig, anhand derer eine holistische Herangehensweise mit einer Strategieentwicklung für Regionen spezifischer Schwerpunktprobleme erfolgt. Ziel der Arbeit ist die Erarbeitung einer Strategie zur Systematisierung nach diesen Forderungen und die Bereitstellung eines Toolboxmodelles als Planungswerkzeug für das transdisziplinäre Wasserressourcenmanagement.
Das Toolboxmodell stellt den konzeptionellen Rahmen für die Bewirtschaftung von Wasserressourcen mit der Anwendung transdisziplinärer Forschungsmethoden bereit. Wesentliche Herausforderung bei der Anwendung der transdisziplinären Methode sind die Implementierung verschiedener Skalenbereiche, der Umgang mit der Komplexität von Daten, das Bewahren von Transparenz und Objektivität sowie die Ermöglichung eines auf andere Regionen übertragbaren Planungsprozesses.
Die theoretischen Grundlagen naturwissenschaftlicher Forschung zur Nachhaltigkeit haben ihren Ursprung in den biologischen und geographischen Disziplinen. Das Ineinandergreifen naturräumlicher Zusammenhänge und der Einfluss anthropogener Nutzung und technischer Innovationen auf den Naturhaushalt sind Kern der Kausalität übergreifenden Denkens und Verstehens. Mit dem Ansatz des integrierten Wasserressourcenmanagements (IWRM) erfolgt die Berücksichtigung wirtschaftlicher und sozioökonomischer Ziele in den Planungsprozess für ökologisch nachhaltige Wasserwirtschaft. Das Instrument der Wasserrahmenrichtlinie (EU-WRRL) ist auf eine Gewässerökologie ausgerichtete Richtlinie, welche die Integration verschiedener Interessenvertreter in den Planungsprozess vorsieht. Das Konzept der neuartigen Sanitärsysteme basiert auf Stoffflüssen zwischen konkurrierenden Handlungsbereichen, wie Abfall-, Ressourcen- und Landwirtschaft.
Den integrierten Ansätzen fehlt eine übergeordnete gemeinsame Zielstrategie – eine sogenannte Phase Null. Diese Phase Null – das Lernen aller 7 Zusammenfassung 157 relevanten, konkurrierenden und harmonisierenden Handlungsfelder eines Planungshorizontes wird durch eine transdisziplinäre Perspektive ermöglicht. Während bei der integralen Perspektive eine disziplinorientierte Kooperation im Vordergrund steht, verlangt die transdisziplinäre Perspektive nach einer problemorientierten Kooperation zwischen den Interessenvertretern (Werlen 2015). Die bestehenden Konzepte und Richtlinien für das nachhaltige Management von Wasserressourcen sind etabliert und evaluiert. Der Literatur zur Folge ist eine Weiterentwicklung nach der Perspektive der Transdisziplinarität erforderlich. Das Toolboxmodell für integrales Wasserressourcenmanagement entspricht einem Planungstool bestehend aus Werkzeugen für die Anwendung wissenschaftlicher Methoden. Die Zusammenstellung der Methoden/Werkzeuge erfüllt im Rahmen die Methode transdisziplinärer Forschung. Das Werkzeug zum Aufstellen der relevanten Handlungsfelder umfasst die Charakterisierung eines Untersuchungsgebietes und Planungsrahmens, die kausale Verknüpfung des Bewirtschaftungskonzeptes und konkurrierender sowie sich unterstützender Stakeholder. Mit dem Werkzeug der Kontextualisierung und Indikatorenaufstellung wird eine Methode der stufenweisen und von einer Skala unabhängigen Bewertung des Umweltzustandes für die Zielpriorisierung vorgenommen. Damit wird das Toolboxmodell dem Problem der Komplexität und Datenverfügbarkeit gerecht. Anhand der eingesetzten ABC Methode, werden die Bewertungsgrößen differenziert strukturiert auf verschiedene Skalen und Datenressourcen (A=Ersterkennung,B=Zeigerwerte, C=Modell/Index). Die ABC-Methode ermöglicht die Planung bereits mit unsicherer und lückenhafter Datengrundlage, ist jederzeit erweiterbar und bietet somit eine operative Wissensgenerierung während des Gestaltungsprozesses.
Für das Werkzeug zur Bewertung und Priorisierung wird der Algorithmus der Composite Programmierung angewandt. Diese Methode der Mehrfachzielplanung erfüllt den Anspruch der permanenten Erweiterbarkeit und der transparenten und objektiven Entscheidungsfindung. Die Komplexität des transdisziplinären Wasserressourcenmanagements kann durch die Methode der Composite Programmierung systematisiert werden. Das wesentliche Ergebnis der Arbeit stellt die erfolgreiche Erarbeitung und Anwendung des Tool-boxmodells für das transdisziplinäre Wasserressourcenmanagement im Untersuchungsgebiet Stadt Darkhan in der Mongolei dar. Auf Grund seiner besonderen hydrologischen und strukturellen Situa-tion wird die Relevanz eines nachhaltigen Bewirtschaftungskonzeptes deutlich. Im Rahmen des Querschnittsmoduls des MoMo-Projektes wurde eine für das Toolboxmodell geeignete Datengrundlage erarbeitet. Planungsrelevante Handlungsfelder wurden im Rahmen eines Workshops mit verschiedenen Interessenvertretern erarbeitet. Im Ergebnis dessen wurde die Systematik eines Zielbaumes mit Hauptzielen und untergeordneten Teilzielen als Grundlage der Priorisierung nach den holistischen Anspruch der transdisziplinären Forschung aufgestellt. Für die Messbarkeit, in-wieweit Teilziele erreicht sind oder Handlungsbedarf besteht, wurden Indikatoren erarbeitet. Die Indikatoren-Aufstellung erfolgte exemplarisch für das Handlungsfeld Siedlungswasserwirtschaft in allen Skalen des ABC-Systems. Die im BMBF-MoMo Projekt generierte umfassende Datengrundlage ermöglichte die Anwendung und Evaluierung des Toolboxmodells mit unterschiedlichem quantitativem und qualitativem Dateninput. Verschiedene Kombination von A (Ersterkennung), B (Zeigerwerte) und C (Modell/Index) als Grundlage der Priorisierung mit der Compostite Programmierung ermöglichten die Durchführung und Bewertung des transdisziplinären Planungstools. Die er-mittelten Rangfolgen von Teilzielen mit unterschiedlichen Bewertungsvarianten ergaben ähnliche
Tendenzen. Das ist ein Hinweis dafür, dass für die zukünftige Anwendung des Toolboxmodells die operative Wissensgenerierung, d.h. das schrittweise Hinzufügen neu ermittelter, gesicherterer Daten, funktioniert. Eine schwierige Datenverfügbarkeit oder eine noch im Prozess befindliche wissenschaftliche Analyse sollen keine Hindernisse für eine schrittweise und erweiterbare Zielpriorisierung und Maßnahmenplanung sein. Trotz der Komplexität des transdisziplinären Ansatzes wird durch die Anwendung des Toolboxmodells eine effiziente und zielorientierte Handlungspriorisierung ermöglicht. Die Effizienz wird erreicht durch ressourcenschonende und flexible, Ziel fokussierte Datenermittlung. Zeit und Kosten im Planungsprozess können eingespart werden. Die erzielte Priorisierung von letztlich Handlungsempfehlungen erfolgt individuell auf die Eigenart des Untersuchungsgebietes angepasst, was hinsichtlich seiner Wirkung als erfolgsversprechend gilt.
Die Verbreitung mobiler Smartphones und besonders deren allgegenwärtige Lokalisierungstechnologien verändern das Navigationsverhalten im Raum nachhaltig. Parallel zur schnell voranschreitenden Entwicklung alltäglicher Geräte, die mitgeführt werden, setzt der Übergang der bereits länger dauernden Entwicklung von Virtual-Reality-Technik in eine erweiterte und augmentierte Mixed Reality ein. In diesem Spannungsfeld untersucht die vorliegende Arbeit, inwieweit richtungsgebundene und binaural wiedergegebene Stereofonie die menschliche Bewegung im Raum beeinflussen kann und versucht zu erörtern, welche Potenziale in der Wiederentdeckung einer relativ lange bekannten Technik liegen. Der Autor hat im Rahmen dieser Arbeit eine binaurale mobile Applikation für richtungsgebundene Stereofonie entwickelt, mit der virtuelle bewegte oder statische Audio-Hotspots im Raum platziert werden können. So kann links, rechts oder 30 Meter vor einer Person ein virtueller oder tatsächlicher Klang im Raum verortet sein. Durch die in Echtzeit berechnete binaurale Wiedergabe der Klangquellen mit einem Stereo-Kopfhörer können diese räumlich verorteten Klänge mit zwei Ohren dreidimensional wahrgenommen werden, ähnlich dem räumlichen Sehen mit zwei Augen. Durch den Einsatz mehrerer lokalisierter Klangquellen als Soundscape entsteht eine augmentierte auditive Realität, die die physische Realität erweitert. Die Position und Navigation des Nutzers wird durch binaurale Lautstärkenmodulation (die Lautstärke nimmt bei abnehmender Distanz zur Quelle zu) und Stereopanning mit Laufzeitmodulation (die Richtung wird über ein Stereosignal auf beiden Ohren räumlich links-rechts-vorne verortet) interaktiv und kybernetisch beeinflusst. Die Nutzer navigieren — durch ihr Interesse an den hörbaren virtuellen Klangquellen geleitet — durch einen dynamisch erzeugten, dreidimensionalen akustischen Raum, der gleichzeitig ein virtueller und kybernetischer Raum ist, da die Repräsentation der Klänge an die Bewegung und Ausrichtung der Nutzer im Raum angepasst wird. Diese Arbeit untersucht, ob die Bewegung von Menschen durch (virtuelle) Klänge beeinflusst werden kann und wie groß oder messbar dieser Einfluss ist. Dabei können nicht alle künstlerischen, architektonischen und philosophischen Fragen im Rahmen der vorliegenden Schrift erörtert werden, obwohl sie dennoch als raumtheoretische Fragestellung von Interesse sind. Hauptgegenstand der vorliegenden Arbeit liegt in der Erforschung, ob richtungsgebundene Stereofonie einen relevanten Beitrag zur menschlichen Navigation, hauptsächlich zu Fuß, in urbanen Gebieten — vorwiegend im Außenraum — leisten kann. Der erste Teil gliedert sich in »Raum und Klang«, es werden raumtheoretische Überlegungen zur menschlichen Bewegung im Raum, Raumvorstellungen, räumliche Klänge und Klangwahrnehmung sowie die Entwicklung stereofoner Apparaturen und Aspekte der Augmented Audio Reality besprochen. Im zweiten Teil werden drei Demonstratoren als Anwendungsszenarien und drei Evaluierungen im Außenraum vorgestellt. Die Tests untersuchen, ob sich das Verfahren zur Navigation für Fußgänger eignet und inwieweit eine Einflussnahme auf das Bewegungsverhalten von Nutzern getroffen werden kann. Die Auswertungen der Tests zeigen, dass sich stereofone Klänge grundsätzlich als Navigationssystem eignen, da eine große Mehrzahl der Teilnehmer die akustisch markierten Ziele leicht gefunden hat. Ebenso zeigt sich ein klarer Einfluss auf die Bewegungsmuster, allerdings ist dieser abhängig von individuellen Interessen und Vorlieben. Abschließend werden die Ergebnisse der Untersuchungen im Kontext der vorgestellten Theorien diskutiert und die Potenziale stereofoner Anwendungen in einem Ausblick behandelt. Bei der Gestaltung, Erzeugung und Anwendung mobiler Systeme sind unterschiedliche mentale und räumliche Modelle und Vorstellungen der Entwickler und Anwender zu beachten. Da eine umfassende transdisziplinäre Betrachtung klare Begrifflichkeiten erfordert, werden Argumente für ein raumtheoretisches Vokabular diskutiert. Diese sind für einen gestalterischen Einsatz von richtungsgebundener Stereofonie — besonders im Kontext mobiler Navigation durch akustisch augmentierte Räume — äußerst relevant.
In dieser Untersuchung wird eine Geschichte von Problemen der Gleichzeitigkeit zwischen Sehen und Hören, beziehungsweise der Synchronität von Bild und Ton, bis zur Entstehung des Tonfilms rekonstruiert. Dabei werden Linien gezogen zwischen diskursiven Konfigurationen und medialen Anordnungen, in denen das Verhältnis von Sehen und Hören oder Bild und Ton als zeitliches erscheint – in denen Sehen und Hören, Bild und Ton zwischen Mannigfaltigkeit und Einheit verschmelzen, auseinanderfallen, interagieren, redundant oder spezifisch werden, einander ergänzen, dominieren, verfehlen verdrängen, aufspalten…
Tonfilm ist in der Kinogeschichte eben nicht nur eine Ergänzung. Vielmehr ähnelt er dem Auftritt eines Gespensts, das das Wissen und die Techniken der Trennung der Sinne schon länger, vielleicht schon immer begleitet hatte. Das Auftreten des Tonfilms ist auch überhaupt früher Anlass eines weitreichenden Diskurses darüber, was Audiovision eigentlich sein könnte und sollte. Noch allgemeiner könnte auch davon gesprochen werden, dass Tonfilm eins der ersten großen Projekte der Konvergenz technischer Medien ist, die heute – besonders angesichts des Computers – als entscheidender Aspekt von Mediengeschichte erscheint.
Die Linien der Probleme von Gleichzeitigkeit/Ungleichzeitigkeit an den Schnittstellen von Wissen, Technik und Ästhetik werden insbesondere durch drei Felder hindurch nachgezeichnet:
1) Die Geschichte von Intermodalität in Bezug auf die Frage nach Gleichzeitigkeit und Ungleichzeitigkeit als Problem und Gegenstand von Wissenschaft seit dem 19. Jahrhundert, vornehmlich in zwei Gebieten: Als Fehlerquelle im astronomischen Observatorium bei der Messung, Feststellung und Vereinheitlichung von Raum und Zeit, die auf individuelle Abweichungen Intermodaler Wahrnehmung verweist und als Problem der „persönlichen Gleichung“ weit über die Astronomie hinaus Karriere macht. Als heiße Zone wahrnehmungspsychologischer Experimente und ihrer Apparate seit der Mitte des 19. Jahrhunderts, die mit dem Konzept der „Komplikation“ Fragen nach einer Synthese der Sinneswahrnehmungen und damit letztlich nach der Selbstgegenwart des Menschen stellt.
2) Eine Technikgeschichte des Problems auditive und visuelle Zeitmedien – wie Phonograph und Film – zu koppeln, zu synchronisieren. Darin eskalieren zwei zeitkritische Relationen: Einerseits zwischen diskreter, intermittierender Bewegung des Films und stetiger, kontinuierlicher Bewegung des Phonographen, andererseits in Bezug darauf, an welcher Stelle – wo und wann – audiovisuelle Gegenwart des Kinos ensteht; oder auch verfehlt wird.
3) Eine Geschichte von Filmtheorie und -ästhetik, in der sich mit der Durchsetzung des Tonfilms um 1930 die Frage stellt, was dieses neue Medium sei und was damit zu tun. Diese Verhandlungen spannen sich zwischen dem formulierten Ziel einer spezifischen Illusion oder Präsenz von Tonfilm durch Synchronität auf der einen Seite und der sich aus dem Verdacht des Betrugs durch Synchronität ergebenden Forderung nach „Asynchronismus“ als kritischer Methode auf der anderen Seite auf.
Ausgehend von der These, dass im 19. Jahrhundert die Sinne aufgeteilt werden, dann wird in diesen Anordnungen an irgendeiner Stelle Heterogenes gleichzeitig passieren. An welcher Stelle? Und was bedeuten diese (Un-)Gleichzeitigkeiten? Was dabei - sehr allgemein gesprochen - auf dem Spiel steht, sind Möglichkeiten einer audiovisuell geteilten – getrennten oder gemeinsamen - Welt und Gegenwart.
In recent decades, a multitude of concepts and models were developed to understand, assess and predict muscular mechanics in the context of physiological and pathological events.
Most of these models are highly specialized and designed to selectively address fields in, e.g., medicine, sports science, forensics, product design or CGI; their data are often not transferable to other ranges of application. A single universal model, which covers the details of biochemical and neural processes, as well as the development of internal and external force and motion patterns and appearance could not be practical with regard to the diversity of the questions to be investigated and the task to find answers efficiently. With reasonable limitations though, a generalized approach is feasible.
The objective of the work at hand was to develop a model for muscle simulation which covers the phenomenological aspects, and thus is universally applicable in domains where up until now specialized models were utilized. This includes investigations on active and passive motion, structural interaction of muscles within the body and with external elements, for example in crash scenarios, but also research topics like the verification of in vivo experiments and parameter identification. For this purpose, elements for the simulation of incompressible deformations were studied, adapted and implemented into the finite element code SLang. Various anisotropic, visco-elastic muscle models were developed or enhanced. The applicability was demonstrated on the base of several examples, and a general base for the implementation of further material models was developed and elaborated.
The Marmara Region (NW Turkey) has experienced significant earthquakes (M > 7.0) to date. A destructive earthquake is also expected in the region. To determine the effect of the specific design spectrum, eleven provinces located in the region were chosen according to the Turkey Earthquake Building Code updated in 2019. Additionally, the differences between the previous and updated regulations of the country were investigated. Peak Ground Acceleration (PGA) and Peak Ground Velocity (PGV) were obtained for each province by using earthquake ground motion levels with 2%, 10%, 50%, and 68% probability of exceedance in 50-year periods. The PGA values in the region range from 0.16 to 0.7 g for earthquakes with a return period of 475 years. For each province, a sample of a reinforced-concrete building having two different numbers of stories with the same ground and structural characteristics was chosen. Static adaptive pushover analyses were performed for the sample reinforced-concrete building using each province’s design spectrum. The variations in the earthquake and structural parameters were investigated according to different geographical locations. It was determined that the site-specific design spectrum significantly influences target displacements for performance-based assessments of buildings due to seismicity characteristics of the studied geographic location.
In this thesis, a generic model for the post-failure behavior of concrete in tension is proposed. A mesoscale model of concrete representing the heterogeneous nature of concrete is formulated. The mesoscale model is composed of three phases: aggregate, mortar matrix, and the Interfacial Transition Zone between them. Both local and non-local formulations of the damage are implemented and the results are compared. Three homogenization schemes from the literature are employed to obtain the homogenized constitutive relationship for the macroscale model. Three groups of numerical examples are provided.
Medien/Denken/Um/Formatieren
(2020)
Die medienwissenschaftliche Praxis des Um / Formatierens wurde im Wintersemester 2017 / 18 mit vierzig Bache- lor-Studierenden der Medien-, Theaterwissenschaft und den Gender Studies entwickelt und erprobt. Inhalt des Seminars waren konkrete mediale Standardformate, wie z. B. die Carte de Visite, die Schallplatte, der 16- oder 35mm Filmstreifen, digitale Dateiformate, wie das JPEG, GIF, MP3, die Videokassette oder auch Papierformate wie DIN A0 oder A8.
Schreibwalzer GeradekanonischeTexteumgibteine Aura der Unantastbarkeit und es scheint, als bräuchte man eine gewisse Art der Legitimation, sich diesen auch kritisch anzunähern oder mit eigenen Gedanken auf eine Stufe zu stellen. Im Präludium tasten wir uns phy- sisch mit Schere, Bleistift, Klebestift an diese Schwer- gewichte heran und darüber hinaus; mit Respekt, doch ohne Einschüchterung.
Radikale Pädagogik richtet ihre Aufmerksamkeit sowohl auf die alltäglichen Techniken pädagogischer Praxis – Techniken zur Aktivierung eines Begegnungsraumes, Techniken, sich um die Arbeit und einander zu kümmern, Techniken des kulturübergreifenden Zuhörens, Techniken, sich dem Mehr-als zuzuwenden – als auch auf Techniken zum »Überschreiten der Schwelle«. Das Überschreiten der Schwelle hängt mit der Art und Weise der Anpassung (accommodation) zusammen, die es ermöglicht, das Lernen in all seinen Erscheinungsformen wertzuschätzen.
Das spekulative Handbuch bietet vielfältige Techniken für ein radikales Lernen und Vermitteln. Es umfasst konkrete Anleitungen, Erfahrungen und theoretische Überlegungen. Die Texte beteiligen sich an der Konzeption einer Vermittlung, die das gemeinsame Experimentieren (wieder) einführt.
Im Seminarraum, in Workshops, auf Festivals, in Fluren, Parks und der Stadt finden Lernen und Verlernen statt. Texte und Anleitungen u. a. zu: Filmessays, Collagen, Banküberfällen, der Universität der Toten, wildem Schreiben, konzeptuellem speed Dating, neurodiversem Lernen, Format-Denken, dem Theater der Sorge, dem Schreiblabor, dem Körperstreik.
Der perfekte Bankraub
(2020)
Finanzielle Unabhängigkeit, überleben können, Superheld*in oder Pop-Star sein, Adrenalin-Kick, lebenslange Kompliz*innenschaft und ewige romanti- sche Verbundenheit, Verschwörung, siegreiches Über- listen, Täuschungstechniken – die Fantasien, die sich um die Idee des Bankraubs ranken, sind so verschieden wie die Menschen, die sie haben. Ein Banküberfall ist wahrscheinlich der Traum Vieler, angesichts der zuneh- menden Prekarisierung persönlicher Ökonomien und
– gleichzeitig oder gerade deswegen – ein spektakulari- siertes, fast popkulturelles Ereignis, das in den Medien gut dokumentiert und in unzähligen Filmen illustriert und weitergesponnen wird.
Körperstreik
(2020)
Das Innovationsmanagement von Medienorganisationen unterliegt derzeit erheblichen Veränderungen: Im veränderten Marktumfeld erweisen sich Flexibilität, schnelle Richtungswechsel und Anpassungsfähigkeit als zentral. Darauf muss auch die Medienmanagement-Forschung reagieren: Um die Agilität der gegenwärtigen Unternehmenspraxis valide zu erforschen, ist eine ebenso agile, adaptive Forschung gefordert. Zu diesem Zweck schlägt der Beitrag eine praxistheoretische Perspektive auf das Innovationsmanagement von Medienorganisationen vor. Empirische Forschungsdesigns, die aus einem solchen Zugriff resultieren, werden sowohl hinsichtlich ihrer methodischen Herausforderungen als auch ihres Forschungsprojektmanagements diskutiert. Der Beitrag greift außerdem neue Möglichkeitsräume des wissenschaftlichen Publizierens, des Universitätsmanagements sowie der Forschungsorganisation auf, die praxistheoretisch gegründete, empirische Innovationsforschung in der Medienwirtschaft einfordert.
Welfare‐state transformation and entrepreneurial urban politics in Western welfare states since the late 1970s have yielded converging trends in the transformation of the dominant Fordist paradigm of social housing in terms of its societal function and institutional and spatial form. In this article I draw from a comparative case study on two cities in Germany to show that the resulting new paradigm is simultaneously shaped by the idiosyncrasies of the country's national housing regime and local housing policies. While German governments have successively limited the societal function of social housing as a legitimate instrument only for addressing exceptional housing crises, local policies on providing and organizing social housing within this framework display significant variation. However, planning and design principles dominating the spatial forms of social housing have been congruent. They may be interpreted as both an expression of the marginalization of social housing within the restructured welfare housing regime and a tool of its implementation according to the logics of entrepreneurial urban politics.
The economic losses from earthquakes tend to hit the national economy considerably; therefore, models that are capable of estimating the vulnerability and losses of future earthquakes are highly consequential for emergency planners with the purpose of risk mitigation. This demands a mass prioritization filtering of structures to identify vulnerable buildings for retrofitting purposes. The application of advanced structural analysis on each building to study the earthquake response is impractical due to complex calculations, long computational time, and exorbitant cost. This exhibits the need for a fast, reliable, and rapid method, commonly known as Rapid Visual Screening (RVS). The method serves as a preliminary screening platform, using an optimum number of seismic parameters of the structure and predefined output damage states. In this study, the efficacy of the Machine Learning (ML) application in damage prediction through a Support Vector Machine (SVM) model as the damage classification technique has been investigated. The developed model was trained and examined based on damage data from the 1999 Düzce Earthquake in Turkey, where the building’s data consists of 22 performance modifiers that have been implemented with supervised machine learning.
A new large‐field, high‐sensitivity, single‐mirror coincident schlieren optical instrument has been installed at the Bauhaus‐Universität Weimar for the purpose of indoor air research. Its performance is assessed by the non‐intrusive measurement of the thermal plume of a heated manikin. The schlieren system produces excellent qualitative images of the manikin's thermal plume and also quantitative data, especially schlieren velocimetry of the plume's velocity field that is derived from the digital cross‐correlation analysis of a large time sequence of schlieren images. The quantitative results are compared with thermistor and hot‐wire anemometer data obtained at discrete points in the plume. Good agreement is obtained, once the differences between path‐averaged schlieren data and planar anemometry data are reconciled.
Material properties play a critical role in durable products manufacturing. Estimation of the precise characteristics in different scales requires complex and expensive experimental measurements. Potentially, computational methods can provide a platform to determine the fundamental properties before the final experiment. Multi-scale computational modeling leads to the modeling of the various time, and length scales include nano, micro, meso, and macro scales. These scales can be modeled separately or in correlation with coarser scales. Depend on the interested scales modeling, the right selection of multi-scale methods leads to reliable results and affordable computational cost. The present dissertation deals with the problems in various length and time scales using computational methods include density functional theory (DFT), molecular mechanics (MM), molecular dynamics (MD), and finite element (FE) methods.
Physical and chemical interactions in lower scales determine the coarser scale properties. Particles interaction modeling and exploring fundamental properties are significant challenges of computational science. Downscale modelings need more computational effort due to a large number of interacted atoms/particles. To deal with this problem and bring up a fine-scale (nano) as a coarse-scale (macro) problem, we extended an atomic-continuum framework. The discrete atomic models solve as a continuum problem using the computationally efficient FE method. MM or force field method based on a set of assumptions approximates a solution on the atomic scale. In this method, atoms and bonds model as a harmonic oscillator with a system of mass and springs. The negative gradient of the potential energy equal to the forces on each atom. In this way, each bond's total potential energy includes bonded, and non-bonded energies are simulated as equivalent structural strain energies. Finally, the chemical nature of the atomic bond is modeled as a piezoelectric beam element that solves by the FE method.
Exploring novel materials with unique properties is a demand for various industrial applications. During the last decade, many two-dimensional (2D) materials have been synthesized and shown outstanding properties. Investigation of the probable defects during the formation/fabrication process and studying their strength under severe service life are the critical tasks to explore performance prospects. We studied various defects include nano crack, notch, and point vacancy (Stone-Wales defect) defects employing MD analysis. Classical MD has been used to simulate a considerable amount of molecules at micro-, and meso- scales. Pristine and defective nanosheet structures considered under the uniaxial tensile loading at various temperatures using open-source LAMMPS codes. The results were visualized with the open-source software of OVITO and VMD.
Quantum based first principle calculations have been conducting at electronic scales and known as the most accurate Ab initio methods. However, they are computationally expensive to apply for large systems. We used density functional theory (DFT) to estimate the mechanical and electrochemical response of the 2D materials. Many-body Schrödinger's equation describes the motion and interactions of the solid-state particles. Solid describes as a system of positive nuclei and negative electrons, all electromagnetically interacting with each other, where the wave function theory describes the quantum state of the set of particles. However, dealing with the 3N coordinates of the electrons, nuclei, and N coordinates of the electrons spin components makes the governing equation unsolvable for just a few interacted atoms. Some assumptions and theories like Born Oppenheimer and Hartree-Fock mean-field and Hohenberg-Kohn theories are needed to treat with this equation. First, Born Oppenheimer approximation reduces it to the only electronic coordinates. Then Kohn and Sham, based on Hartree-Fock and Hohenberg-Kohn theories, assumed an equivalent fictitious non-interacting electrons system as an electron density functional such that their ground state energies are equal to a set of interacting electrons. Exchange-correlation energy functionals are responsible for satisfying the equivalency between both systems. The exact form of the exchange-correlation functional is not known. However, there are widely used methods to derive functionals like local density approximation (LDA), Generalized gradient approximation (GGA), and hybrid functionals (e.g., B3LYP). In our study, DFT performed using VASP codes within the GGA/PBE approximation, and visualization/post-processing of the results realized via open-source software of VESTA.
The extensive DFT calculations are conducted 2D nanomaterials prospects as anode/cathode electrode materials for batteries. Metal-ion batteries' performance strongly depends on the design of novel electrode material. Two-dimensional (2D) materials have developed a remarkable interest in using as an electrode in battery cells due to their excellent properties. Desirable battery energy storage systems (BESS) must satisfy the high energy density, safe operation, and efficient production costs. Batteries have been using in electronic devices and provide a solution to the environmental issues and store the discontinuous energies generated from renewable wind or solar power plants. Therefore, exploring optimal electrode materials can improve storage capacity and charging/discharging rates, leading to the design of advanced batteries.
Our results in multiple scales highlight not only the proposed and employed methods' efficiencies but also promising prospect of recently synthesized nanomaterials and their applications as an anode material. In this way, first, a novel approach developed for the modeling of the 1D nanotube as a continuum piezoelectric beam element. The results converged and matched closely with those from experiments and other more complex models. Then mechanical properties of nanosheets estimated and the failure mechanisms results provide a useful guide for further use in prospect applications. Our results indicated a comprehensive and useful vision concerning the mechanical properties of nanosheets with/without defects. Finally, mechanical and electrochemical properties of the several 2D nanomaterials are explored for the first time—their application performance as an anode material illustrates high potentials in manufacturing super-stretchable and ultrahigh-capacity battery energy storage systems (BESS). Our results exhibited better performance in comparison to the available commercial anode materials.
The thesis concerns a work of urban history intended not to describe the city but rather to interpret it. By doing so, I have interpreted the city by means of the role played by the so-called ‘great property’ in the European city-making process during the last three decades of the 20th century, specifically focused on the concrete case of military properties in Italy. I have also considered the role played by other kinds of great properties, i.e. industries and railway, which previously acted in the production of the built environment in a different way respect to the military one. As all of them have as common denominator the fact of being ‘capital in land’, I analysed great industrial and railway properties in order to extrapolate a methodology which helped me to interpret the relationship between military properties and city-making process in Europe in the late 20th century.
I have analysed the relationship between the capital in land and the city-making process on the ground of the understanding the interrelation between the great property, the urban development, and the agents involved in the urban and territorial planning. Here I have showed that urban planning is not the decisive factor influencing the citymaking process, but instead the power held by the capital in land. I have found that is the great property the trigger of the creation of new ‘areas of centrality’ intended as large areas for consumerism. As far as the role played by great property is concerned, I have also discovered that it has evolved over time. Originally, industrial and railway properties have been regenerated into a wide range of new profit-driven spaces; successively, I have found out that most of the regeneration of military premises aimed to materialise areas of centrality. The way of interpreting this factor has been based on focusing my attention on the military premises in Italy: I have classified their typology when they have been built and, most importantly, when they have been regenerated into new areas of centrality.
Wind effects can be critical for the design of lifelines such as long-span bridges. The existence of a significant number of aerodynamic force models, used to assess the performance of bridges, poses an important question regarding their comparison and validation. This study utilizes a unified set of metrics for a quantitative comparison of time-histories in bridge aerodynamics with a host of characteristics. Accordingly, nine comparison metrics are included to quantify the discrepancies in local and global signal features such as phase, time-varying frequency and magnitude content, probability density, nonstationarity and nonlinearity. Among these, seven metrics available in the literature are introduced after recasting them for time-histories associated with bridge aerodynamics. Two additional metrics are established to overcome the shortcomings of the existing metrics. The performance of the comparison metrics is first assessed using generic signals with prescribed signal features. Subsequently, the metrics are applied to a practical example from bridge aerodynamics to quantify the discrepancies in the aerodynamic forces and response based on numerical and semi-analytical aerodynamic models. In this context, it is demonstrated how a discussion based on the set of comparison metrics presented here can aid a model evaluation by offering deeper insight. The outcome of the study is intended to provide a framework for quantitative comparison and validation of aerodynamic models based on the underlying physics of fluid-structure interaction. Immediate further applications are expected for the comparison of time-histories that are simulated by data-driven approaches.
Ausgehend von der vielfachen Verwertung der bäuerlichen Kleidung durch den Staat während des Sozialismus in Rumänien wird in der Arbeit das ‚Gemacht-Sein‘ von Volkstrachten befragt entlang von im untersuchten Zeitraum wirkenden Diskursen, wie dem Prozess der Modernisierung oder der Hervorhebung nationaler Werte. Die künstlerische Forschung setzt dabei auf Simulacra (Roland Barthes). Ziel war, tradierte Formate der Wissensaufbereitung und -verbreitung zu appropriieren, so auch von Strategien, die auf der Ebene von Bildern und Sprache agieren, um eine Re-Lektüre sowohl von ‚Volkstracht‘ im Sozialismus als auch von ihren Entsprechungen nach 1989 zu ermöglichen.
Evaporation is a very important process; it is one of the most critical factors in agricultural, hydrological, and meteorological studies. Due to the interactions of multiple climatic factors, evaporation is considered as a complex and nonlinear phenomenon to model. Thus, machine learning methods have gained popularity in this realm. In the present study, four machine learning methods of Gaussian Process Regression (GPR), K-Nearest Neighbors (KNN), Random Forest (RF) and Support Vector Regression (SVR) were used to predict the pan evaporation (PE). Meteorological data including PE, temperature (T), relative humidity (RH), wind speed (W), and sunny hours (S) collected from 2011 through 2017. The accuracy of the studied methods was determined using the statistical indices of Root Mean Squared Error (RMSE), correlation coefficient (R) and Mean Absolute Error (MAE). Furthermore, the Taylor charts utilized for evaluating the accuracy of the mentioned models. The results of this study showed that at Gonbad-e Kavus, Gorgan and Bandar Torkman stations, GPR with RMSE of 1.521 mm/day, 1.244 mm/day, and 1.254 mm/day, KNN with RMSE of 1.991 mm/day, 1.775 mm/day, and 1.577 mm/day, RF with RMSE of 1.614 mm/day, 1.337 mm/day, and 1.316 mm/day, and SVR with RMSE of 1.55 mm/day, 1.262 mm/day, and 1.275 mm/day had more appropriate performances in estimating PE values. It was found that GPR for Gonbad-e Kavus Station with input parameters of T, W and S and GPR for Gorgan and Bandar Torkmen stations with input parameters of T, RH, W and S had the most accurate predictions and were proposed for precise estimation of PE. The findings of the current study indicated that the PE values may be accurately estimated with few easily measured meteorological parameters.
Due to the importance of identifying crop cultivars, the advancement of accurate assessment of cultivars is considered essential. The existing methods for identifying rice cultivars are mainly time-consuming, costly, and destructive. Therefore, the development of novel methods is highly beneficial. The aim of the present research is to classify common rice cultivars in Iran based on color, morphologic, and texture properties using artificial intelligence (AI) methods. In doing so, digital images of 13 rice cultivars in Iran in three forms of paddy, brown, and white are analyzed through pre-processing and segmentation of using MATLAB. Ninety-two specificities, including 60 color, 14 morphologic, and 18 texture properties, were identified for each rice cultivar. In the next step, the normal distribution of data was evaluated, and the possibility of observing a significant difference between all specificities of cultivars was studied using variance analysis. In addition, the least significant difference (LSD) test was performed to obtain a more accurate comparison between cultivars. To reduce data dimensions and focus on the most effective components, principal component analysis (PCA) was employed. Accordingly, the accuracy of rice cultivar separations was calculated for paddy, brown rice, and white rice using discriminant analysis (DA), which was 89.2%, 87.7%, and 83.1%, respectively. To identify and classify the desired cultivars, a multilayered perceptron neural network was implemented based on the most effective components. The results showed 100% accuracy of the network in identifying and classifying all mentioned rice cultivars. Hence, it is concluded that the integrated method of image processing and pattern recognition methods, such as statistical classification and artificial neural networks, can be used for identifying and classification of rice cultivars.
The effect of urban form on energy consumption has been the subject of various studies around the world. Having examined the effect of buildings on energy consumption, these studies indicate that the physical form of a city has a notable impact on the amount of energy consumed in its spaces. The present study identified the variables that affected energy consumption in residential buildings and analyzed their effects on energy consumption in four neighborhoods in Tehran: Apadana, Bimeh, Ekbatan-phase I, and Ekbatan-phase II. After extracting the variables, their effects are estimated with statistical methods, and the results are compared with the land surface temperature (LST) remote sensing data derived from Landsat 8 satellite images taken in the winter of 2019. The results showed that physical variables, such as the size of buildings, population density, vegetation cover, texture concentration, and surface color, have the greatest impacts on energy usage. For the Apadana neighborhood, the factors with the most potent effect on energy consumption were found to be the size of buildings and the population density. However, for other neighborhoods, in addition to these two factors, a third factor was also recognized to have a significant effect on energy consumption. This third factor for the Bimeh, Ekbatan-I, and Ekbatan-II neighborhoods was the type of buildings, texture concentration, and orientation of buildings, respectively.
Calculating hydrocarbon components solubility of natural gases is known as one of the important issues for operational works in petroleum and chemical engineering. In this work, a novel solubility estimation tool has been proposed for hydrocarbon gases—including methane, ethane, propane, and butane—in aqueous electrolyte solutions based on extreme learning machine (ELM) algorithm. Comparing the ELM outputs with a comprehensive real databank which has 1175 solubility points yielded R-squared values of 0.985 and 0.987 for training and testing phases respectively. Furthermore, the visual comparison of estimated and actual hydrocarbon solubility led to confirm the ability of proposed solubility model. Additionally, sensitivity analysis has been employed on the input variables of model to identify their impacts on hydrocarbon solubility. Such a comprehensive and reliable study can help engineers and scientists to successfully determine the important thermodynamic properties, which are key factors in optimizing and designing different industrial units such as refineries and petrochemical plants.
Das Buch greift die enge Verknüpfung von Industrialisierung und Urbanisierung auf, die in den letzten gut 250 Jahren Europas Städte und ihre Stadtbaugeschichte maßgeblich geprägt hat. Damit stellen sich auch vielfältige Fragen und Aufgaben für die Denkmalpflege.
Die Habilitationsschrift leistet einen Beitrag, um die stadtbaugeschichtlichen und stadtbildprägenden Werte historischer Industriekomplexe zu erkennen und zu erhalten. Wie können wir die industriellen Stadtlandschaften erfassen? Wie gestalten wir Umnutzungen und Konversionen denkmalgerecht und beziehen im Rahmen eines Heritage-Managements Aspekte der nachhaltigen Stadtentwicklung ein?
Das vorliegende Gutachten befasst sich mit der Innovationslandschaft des deutschen Journalismus. Innovation wird als eine essenzielle Voraussetzung verstanden, um tragfähige Lösungsansätze für die gegenwärtigen Probleme des Journa-lismus zu entwickeln. Im Mittelpunkt des Gutachtens steht die Frage, wie Innovationspolitik im Journalismus – d. h. die Unterstützung von Innovation durch die öffentliche Hand – funktionstüchtig ausgestaltet werden kann. Dabei wird dem Innovationssysteme-Ansatz gefolgt, welcher Probleme, Barrieren und Hemmnisse identifiziert, die der Innovationsfähigkeit des Journalismus in Deutschland grundlegend im Wege stehen.
Im vorliegenden Beitrag werden Messungen und Berechnungen vorgestellt, die die Temperaturentwicklung in Betonzylindern aufgrund zyklischer Beanspruchung genau beschreiben. Die Messungen wurden in einem Versuchsstand, die Berechnungen im FEM-Programm ANSYS durchgeführt. Mit Hilfe der Temperaturmessungen konnten die Simulationen für die Temperaturentwicklung der Betonzylinder mit der verwendeten Betonrezeptur validiert werden. Die Untersuchungen lassen den Schluss zu, dass bei zyklischer Probekörperbelastung und der einhergehenden Probekörperdehnung Energie dissipiert wird und diese maßgeblich für die Erwärmung der Probe verantwortlich ist.
Wiederkehrende Belastungen, wie sie beispielsweise an Brücken oder Windenergieanlagen auftreten, können innerhalb der Nutzungsdauer solcher Bauwerke bis zu 1.000.000.000 Lastwechsel erreichen. Um das dadurch eintretende Ermüdungsverhalten von Beton zu untersuchen, werden diese zyklischen Beanspruchungen in mechanischen Versuchen mit Prüfzylindern nachgestellt. Damit Versuche mit solch hohen Lastwechselzahlen in akzeptablen Zeitdauern durchgeführt werden können, wird die Belastungsfrequenz erhöht. Als Folge dieser erhöhten Belas-tungsfrequenz erwärmen sich allerdings die Betonprobekörper, was zu einem früheren, unrealistischen Versagenszeitpunkt führen kann, weshalb die Erwärmung begrenzt werden muss. Um die Wärmefreisetzung in der Probe zu untersuchen, wurden Versuche und Simulationen durchgeführt. Im Beitrag wird die analytische und messtechnische Analyse des Wärmeübergangs an erwärmten Betonzylindern vorgestellt. Resultierend daraus wird eine Möglichkeit zur Reduktion der Erwärmung an zyklisch beanspruchten Betonzylindern vorgestellt.
The assessment of wind-induced vibrations is considered vital for the design of long-span bridges. The aim of this research is to develop a methodological framework for robust and efficient prediction strategies for complex aerodynamic phenomena using hybrid models that employ numerical analyses as well as meta-models. Here, an approach to predict motion-induced aerodynamic forces is developed using artificial neural network (ANN). The ANN is implemented in the classical formulation and trained with a comprehensive dataset which is obtained from computational fluid dynamics forced vibration simulations. The input to the ANN is the response time histories of a bridge section, whereas the output is the motion-induced forces. The developed ANN has been tested for training and test data of different cross section geometries which provide promising predictions. The prediction is also performed for an ambient response input with multiple frequencies. Moreover, the trained ANN for aerodynamic forcing is coupled with the structural model to perform fully-coupled fluid--structure interaction analysis to determine the aeroelastic instability limit. The sensitivity of the ANN parameters to the model prediction quality and the efficiency has also been highlighted. The proposed methodology has wide application in the analysis and design of long-span bridges.
What you are about to read is the very last issue of the ZMK. Since our overall research enterprise, the IKKM, has to cease all of its activities due to the end of its twelve years’ funding by the German federal government, the ZMK will also come to an end. Its last topic, Schalten und Walten has also been the subject of the concluding biannual conference of the IKKM, and we hope it will be a fitting topic to resume the research of the IKKM on Operative Ontologies.
Although this final issue is in English, we decided to leave its title in German: Schalten und Walten. As it is the case for the name of the IKKM, (Internationales Kolleg für Kulturtechnikforschung und Medienphilosophie), the term seems untranslatable to us, not only for the poetic reason of the rhyming sound of the words. Switching and Ruling might be accepted as English versions, but quite an unbridgeable difference remains. In German, Schalten und Walten is a rather common and quite widespread idiom that can be found in everyday life. Whoever, the idiom stipulates, is able to execute Schalten und Walten has the power to act, has freedom of decision and power of disposition.
Although both terms are mentioned together and belong together in the German expression Schalten und Walten, they are nevertheless complements to each other. They both refer to the exercise and existence of domination, disposal or power, but they nonetheless designate two quite different modes of being. Schalten is not so much sheer command over something, but government or management. It is linked to control, intervention and change, in short: it is operative and goes along with distinctive measures and cause-and-effect relations. The English equivalent switching reflects this more or less adequately.
Das Buch greift die enge Verknüpfung von Industrialisierung und
Urbanisierung auf, die in den letzten gut 250 Jahren Europas Städte und ihre Stadtbaugeschichte maßgeblich geprägt hat. Damit stellen sich auch vielfältige Fragen und Aufgaben für die Denkmalpflege.
Die Habilitationsschrift leistet einen Beitrag, um die stadtbaugeschichtlichen und stadtbildprägenden Werte historischer Industriekomplexe zu erkennen und zu erhalten. Wie können wir die industriellen Stadtlandschaften erfassen? Wie gestalten wir Umnutzungen und Konversionen denkmalgerecht und beziehen im Rahmen eines Heritage-Managements Aspekte der nachhaltigen Stadtentwicklung ein?
Contemporary planning practice is often criticized as too design-driven with a lack of both quantitative evaluation criteria and employment of models that anticipate the self-organizational forces shaping cities, resulting in significant gaps between plan and reality.
This study aims to introduce a modular toolbox prototype for spatial-analysis in data-poor environments. It is proposed to integrate designing, evaluation, and monitoring of urban development into one framework, thus supporting data-driven, on-demand urban design, and planning processes.
The proposed framework’s value will exemplarily be tested, focussing on the analysis and simulation of spatiotemporal growth trajectories taking the Lanzhou New Area as a case-study - a large scale new town project that struggles to attract residents and businesses.
Conducted analysis suggests that more attention should be given to spatiotemporal development paths to ensure that cities work more efficiently throughout any stage of development. Finally, early hints on general design strategies to achieve this goal are discussed with the assistance of the proposed toolbox.
Acoustic travel-time tomography (ATOM) determines the distribution of the temperature in a propagation medium by measuring the travel-time of acoustic signals between transmitters and receivers. To employ ATOM for indoor climate measurements, the impulse responses have been measured in the climate chamber lab of the Bauhaus-University Weimar and compared with the theoretical results of its image source model (ISM). A challenging task is distinguishing the reflections of interest in the reflectogram when the sound rays have similar travel-times. This paper presents a numerical method to address this problem by finding optimal positions of transmitter and receiver, since they have a direct impact on the distribution of travel times. These optimal positions have the minimum number of simultaneous arrival time within a threshold level. Moreover, for the tomographic reconstruction, when some of the voxels remain empty of sound-rays, it leads to inaccurate determination of the air temperature within those voxels. Based on the presented numerical method, the number of empty tomographic voxels are minimized to ensure the best sound-ray coverage of the room. Subsequently, a spatial temperature distribution is estimated by simultaneous iterative reconstruction technique (SIRT). The experimental set-up in the climate chamber verifies the simulation results.
The p-Laplace equation is a nonlinear generalization of the well-known Laplace equation. It is often used as a model problem for special types of nonlinearities, and therefore it can be seen as a bridge between very general nonlinear equations and the linear Laplace equation, too. It appears in many problems for instance in the theory of non-Newtonian fluids and fluid dynamics or in rockfill dam problems, as well as in special problems of image restoration and image processing.
The aim of this thesis is to solve the p-Laplace equation for 1 < p < 2, as well as for 2 < p < 3 and to find strong solutions in the framework of Clifford analysis. The idea is to apply a hypercomplex integral operator and special function theoretic methods to transform the p-Laplace equation into a p-Dirac equation. We consider boundary value problems for the p-Laplace equation and transfer them to boundary value problems for a p-Dirac equation. These equations will be solved iteratively by applying Banach’s fixed-point principle. Applying operator-theoretical methods for the p-Dirac equation, the existence and uniqueness of solutions in certain Sobolev spaces will be proved.
In addition, using a finite difference approach on a uniform lattice in the plane, the fundamental solution of the Cauchy-Riemann operator and its adjoint based on the fundamental solution of the Laplacian will be calculated. Besides, we define gener- alized discrete Teodorescu transform operators, which are right-inverse to the discrete Cauchy-Riemann operator and its adjoint in the plane. Furthermore, a new formula for generalized discrete boundary operators (analogues of the Cauchy integral operator) will be considered. Based on these operators a new version of discrete Borel-Pompeiu formula is formulated and proved.
This is the basis for an operator calculus that will be applied to the numerical solution of the p-Dirac equation. Finally, numerical results will be presented showing advantages and problems of this approach.
Am Beispiel der Elektrifizierung zweier Großstädte an der Westküste Südamerikas zeigt die Arbeit den globalen Einfluss deutscher Industrie- und Finanzakteure auf technische, städtebauliche und gesellschaftlich-kulturelle Entwicklungen zur Blütezeit des europäischen Imperialismus auf. Damit werden die Regionalgeschichten der chilenischen Hauptstadtregion und der Elektropolis Berlin zu einer Globalgeschichte miteinander verknüpft. Ein Hauptaugenmerk der Analyse liegt dabei auf den weltweiten Akteursnetzwerken und Machtverhältnissen sowie dem kulturellen Erbe und seiner gegenwärtigen Interpretation.
Brazilian battlers’ housing discusses the self-production of dwellings in the circumstances of the socioeconomic rise of the so-called Brazilian new middle class, occurred on the first decade of the years 2000. Battlers are a precarious working class of about 100 million people, who have used their recently increased purchase power to informally solve their private housing demands, planning, building and renovating their homes themselves, with limited technical knowledge and almost no access to formal technicians as for example architects. The result is a mode of housing production, which spreads over the territory in micro-local self-initiatives and informal social practices of construction and management. With the support of a controversial manpower, this practice presents all sorts of technical complications, but at the same time expedient ways of affordability and creative spatial solutions for ordinary constructive problems. Such initiatives have consolidated Brazilian informal settlements and peripheral subdivisions, attending a demand poorly responded by the government. This research recognises the benefits of the self-production, but questions the conditions under which it happens and asks if it really collaborates for a true social rise of those who are engaged in it. With an empirical and qualitative approach and taking dwelling construction processes leaded by battlers as main information sources, the academic work responds if and how the socioeconomic rise of the Brazilian battlers has exactly affected the self-production of dwellings. For that, battlers’ self-production of dwellings is analysed and discussed in five main aspects: 1) acquisition of land and real state, 2) building overtime, 3) space and creative power, 4) technical complications and building materials and 5) manpower and know-how.
Wireless sensor networks have attracted great attention for applications in structural health monitoring due to their ease of use, flexibility of deployment, and cost-effectiveness. This paper presents a software framework for WiFi-based wireless sensor networks composed of low-cost mass market single-board computers. A number of specific system-level software components were developed to enable robust data acquisition, data processing, sensor network communication, and timing with a focus on structural health monitoring (SHM) applications. The framework was validated on Raspberry Pi computers, and its performance was studied in detail. The paper presents several characteristics of the measurement quality such as sampling accuracy and time synchronization and discusses the specific limitations of the system. The implementation includes a complementary smartphone application that is utilized for data acquisition, visualization, and analysis. A prototypical implementation further demonstrates the feasibility of integrating smartphones as data acquisition nodes into the network, utilizing their internal sensors. The measurement system was employed in several monitoring campaigns, three of which are documented in detail. The suitability of the system is evaluated based on comparisons of target quantities with reference measurements. The results indicate that the presented system can robustly achieve a measurement performance commensurate with that required in many typical SHM tasks such as modal identification. As such, it represents a cost-effective alternative to more traditional monitoring solutions.
Urban planners are often challenged with the task of developing design solutions which must meet multiple, and often contradictory, criteria. In this paper, we investigated the trade-offs between social, psychological, and energy potential of the fundamental elements of urban form: the street network and the building massing. Since formal mehods to evaluate urban form from the psychological and social point of view are not readily available, we developed a methodological framework to quantify these criteria as the first contribution in this paper. To evaluate the psychological potential, we conducted a three-tiered empirical study starting from real world environments and then abstracting them to virtual environments. In each context, the implicit (physiological) response and explicit (subjective) response of pedestrians were measured. To quantify the social potential, we developed a street network centrality-based measure of social accessibility.
For the energy potential, we created an energy model to analyze the impact of pure geometric form on the energy demand of the building stock. The second contribution of this work is a method to identify distinct clusters of urban form and, for each, explore the trade-offs between the select design criteria. We applied this method to two case studies identifying nine types of urban form and their respective potential trade-offs, which are directly applicable for the assessment of strategic decisions regarding urban form during the early planning stages.
Turbomachinery plays an important role in many cases of energy generation or conversion. Therefore, turbomachinery is a promising approaching point for optimization in order to increase the efficiency of energy use. In recent years, the use of automated optimization strategies in combination with numerical simulation has become increasingly popular in many fields of engineering. The complex interactions between fluid and solid mechanics encountered in turbomachines on the one hand and the high computational expense needed to calculate the performance on the other hand, have, however, prevented a widespread use of these techniques in this field of engineering. The objective of this work was the development of a strategy for efficient metamodel based optimization of centrifugal compressor impellers. In this context, the main focus is the reduction of the required numerical expense. The central idea followed in this research was the incorporation of preliminary information acquired from low-fidelity computation methods and empirical correlations into the sampling process to identify promising regions of the parameter space. This information was then used to concentrate the numerically expensive high-fidelity computations of the fluid dynamic and structure mechanic performance of the impeller in these regions while still maintaining a good coverage of the whole parameter space. The development of the optimization strategy can be divided into three main tasks. Firstly, the available preliminary information had to be researched and rated. This research identified loss models based on one dimensional flow physics and empirical correlations as the best suited method to predict the aerodynamic performance. The loss models were calibrated using available performance data to obtain a high prediction quality. As no sufficiently exact models for the prediction of the mechanical loading of the impellercould be identified, a metamodel based on finite element computations was chosen for this estimation. The second task was the development of a sampling method which concentrates samples in regions of the parameter space where high quality designs are predicted by the preliminary information while maintaining a good overall coverage. As available methods like rejection sampling or Markov-chain Monte-Carlo methods did not meet the requirements in terms of sample distribution and input correlation, a new multi-fidelity sampling method called “Filtered Sampling“has been developed. The last task was the development of an automated computational workflow. This workflow encompasses geometry parametrization, geometry generation, grid generation and computation of the aerodynamic performance and the structure mechanic loading. Special emphasis was put into the development of a geometry parametrization strategy based on fluid mechanic considerations to prevent the generation of physically inexpedient designs. Finally, the optimization strategy, which utilizes the previously developed tools, was successfully employed to carry out three optimization tasks. The efficiency of the method was proven by the first and second testcase where an existing compressor design was optimized by the presented method. The results were comparable to optimizations which did not take preliminary information into account, while the required computational expense cloud be halved. In the third testcase, the method was applied to generate a new impeller design. In contrast to the previous examples, this optimization featuredlargervariationsoftheimpellerdesigns. Therefore, theapplicability of the method to parameter spaces with significantly varying designs could be proven, too.
Due to an increased need for hydro-electricity, water storage, and flood protection, it is assumed that a series of new dams will be built throughout the world. Comparing existing design methodologies for arch-type dams, model-based shape optimization can effectively reduce construction costs and leverage the properties of construction materials. To apply the means of shape optimization, suitable variables need to be chosen to formulate the objective function, which is the volume of the arch dam here. In order to increase the consistency with practical conditions, a great number of geometrical and behavioral constraints are included in the mathematical model. An optimization method, namely Genetic Algorithm is adopted which allows a global search.
Traditional optimization techniques are realized based on a deterministic approach, which means that the material properties and loading conditions are assumed to be fixed values. As a result, the real-world structures that are optimized by these approaches suffer from uncertainties that one needs to be aware of. Hence, in any optimization process for arch dams, it is nec- essary to find a methodology that is capable of considering the influences of uncertainties and generating a solution which is robust enough against the uncertainties.
The focus of this thesis is the formulation and the numerical method for the optimization of the arch dam under the uncertainties. The two main models, the probabilistic model, and non-probabilistic models are intro- duced and discussed. Classic procedures of probabilistic approaches un- der uncertainties, such as RDO (robust design optimization) and RBDO (reliability-based design optimization), are in general computationally ex- pensive and rely on estimates of the system’s response variance and fail- ure probabilities. Instead, the robust optimization (RO) method which is based on the non-probabilistic model, will not follow a full probabilistic approach but works with pre-defined confidence levels. This leads to a bi-level optimization program where the volume of the dam is optimized under the worst combination of the uncertain parameters. By this, robust and reliable designs are obtained and the result is independent of any as- sumptions on stochastic properties of the random variables in the model.
The optimization of an arch-type dam is realized here by a robust optimiza- tion method under load uncertainty, where hydraulic and thermal loads are considered. The load uncertainty is modeled as an ellipsoidal expression. Comparing with any traditional deterministic optimization (DO) method, which only concerns the minimum objective value and offers a solution candidate close to limit-states, the RO method provides a robust solution against uncertainties.
All the above mentioned methods are applied to the optimization of the arch dam to compare with the optimal design with DO methods. The re- sults are compared and analyzed to discuss the advantages and drawbacks of each method.
In order to reduce the computational cost, a ranking strategy and an ap- proximation model are further involved to do a preliminary screening. By means of these, the robust design can generate an improved arch dam structure which ensures both safety and serviceability during its lifetime.
Die vorliegende Arbeit hat die Absicht, den Bedarf der Umsetzung der Planungsidee ‚kinder- und jugendfreundliche Stadtentwicklung’ in Korea zu erforschen und Vorschläge für die Umsetzung zu machen. Darüber hinaus will sie herausfinden, warum man sich bezüglich der Durchführung der kinder- und jugendfreundlichen Stadtentwicklung zunächst auf die Schulen und deren Umgebungen konzentrieren soll.
Deshalb widmet sich die Dissertation zuerst der Literaturrecherche, sowohl was den Begriff der kinder- und jugendfreundlichen Stadtentwicklung angeht als auch der Literatur bezüglich des Beitrags der Schulen zur Realisierung der kinder- und jugendfreundlichen Stadtentwicklung. Danach wird untersucht, ob das deutsche Instrument ‚Spielleitplanung‘ sich als Leitfaden für die gesamte Konzeption der koreanischen kinder- und jugendfreundlichen Stadtentwicklung eignet. Darüber hinaus werden Interviews mit koreanischen Experten aus Stadtplanung und Architektur, Pädagogik und öffentlicher Verwaltung als Forschungsmethode verwendet, um in Bezug auf die kinder- jungendfreundliche Stadtentwicklung den koreanischen Zustand zu analysieren. Zuletzt werden anhand der Untersuchungsergebnisse Handlungs-empfehlungen für die Durchführung der koreanischen kinder- und jugend-freundlichen Stadtentwicklung formuliert.
Anhand dieser Forschung kann konstatiert werden, dass die kinder- und jugendfreundliche Stadtentwicklung eine wichtige Planungsidee ist, weil dadurch Stadtplanerinnen und Stadtplaner sowohl zum körperlichen und geistigen gesunden Aufwachsen von Kindern und Jugendlichen als auch zur Entwicklung ihrer sozialen Kompetenzen erheblich beitragen können. Vor allem soll man die koreanische kinder- und jugendfreundliche Stadtentwicklung zunächst auf den Schulen und den schulischen Umgebungen umsetzen. Denn dadurch lassen sich vielseitige eventuelle Hindernisse bei der Durchführung der kinder- und jugendfreundlichen Stadtentwicklung vermeiden. Ein weiterer Grund ist, dass die Schulen in Korea nicht nur in der Gesellschaft eine zentrale Rolle spielen, sondern auch im Rahmen der Stadtplanung. Auffällig ist, dass die kinder- und jugendfreundliche Stadtentwicklung sowohl auf die räumlichen Gestaltungen als auch auf die Beteiligung von Kindern und Jugendlichen in der städtischen Planung fokussiert ist. Allerdings werden bei der Stadtentwicklung die Kinder und Jugendliche in Korea noch nicht als wichtige Akteure angesehen. Darum soll man die Spielleitplanung in Korea einbeziehen, weil sie als Leitbild bei einer Konzeption der koreanischen kinder- und jugendlichen Stadtentwicklung fungieren kann. Jedoch müssen dabei die kulturellen Unterschiede zwischen Deutschland und Korea berücksichtigt werden.
Weiterhin wurde durch die Interviews festgestellt, dass das Interesse und der Wille von Experten aus der Stadtplanung an Kinder- und Jugendfreundlichkeit die wichtigsten Voraussetzungen sind, um die kinder- und jugendfreundliche Stadtentwicklung in Korea zu verankern und zu verbreiten.
Zum Begriff Illustration scheint ein Missverhältnis zwischen wissenschaftlicher Rezeption und praktischem Gegenstand vorzuliegen. Traditionell bezeichnet der Begriff Illustration ein Bild, das einen textlich vorangestellten Inhalt noch einmal visuell wiederholt und auf diesem Weg in einem Abbild verdoppelt. Traditionelle Illustration benennt also ein sekundäres, explizit von einem anderen Inhalt abhängiges Bild, das auch weggelassen werden könnte, ohne das Inhalt verloren geht. Genutzt wird dieser traditionelle Illustrationsbegriff heute unter anderem in den Forschungsfeldern der Kunstgeschichte, der Bildwissenschaften und der Literaturwissenschaften. Aus der Perpektive der Praxis birgt der traditionelle Illustrationsbegriff ein grundsätzliches Problem in sich. Er versucht, mit einer statischen Definition ein äußerst lebendiges visuelles Phänomen unserer heutigen Zeit zu beschreiben. Professionelle Berufszeichner, die sogenannten Illustratorinnen und Illustratoren, kreieren heute Werke, die mit dem traditionellen Illustrationsbegriff nicht mehr beschreibbar sind. Mehr noch, der traditionelle Illustrationsbegriff macht blind für diese Entwicklungen, die sich deshalb außerhalb des wissenschaftlichen Diskurses abspielen. Die vorliegende Arbeit möchte deshalb einen Blick auf den Zustand zeitgenössischer literarischer Buchillustration werfen, um den Begriff der Illustration in seiner aktuellen Unschärfe zu präzisieren, zu erweitern und somit zu aktualisieren.
The underlying goal of this work is to reduce the uncertainty related to thermally induced stress prediction. This is accomplished by considering use of non-linear material behavior, notably path dependent thermal hysteresis behavior in the elastic properties.
Primary novel factors of this work center on two aspects.
1. Broad material characterization and mechanistic material understanding, giving insight into why this class of material behaves in characteristic manners.
2. Development and implementation of a thermal hysteresis material model and its use to determine impact on overall macroscopic stress predictions.
Results highlight microcracking evolution and behavior as the dominant mechanism for material property complexity in this class of materials. Additionally, it was found that for the cases studied, thermal hysteresis behavior impacts relevant peak stress predictions of a heavy-duty diesel particulate filter undergoing a drop-to-idle regeneration by less than ~15% for all conditions tested. It is also found that path independent heating curves may be utilized for a linear solution assumption to simplify analysis.
This work brings forth a newly conceived concept of a 3 state, 4 path, thermally induced microcrack evolution process; demonstrates experimental behavior that is consistent with the proposed mechanisms, develops a mathematical framework that describes the process and quantifies the impact in a real world application space.
In der vorliegenden Arbeit „Speaking from Somewhere: Der Audio-Walk als künstlerische Praxis und Methode“ wird der Audio-Walk auf theoretischer und praktischer Basis untersucht. Der erste Teil widmet sich dem Audio-Walk als künstlerisches Format. Darin wird analysiert, wie dieses aufgebaut ist und welche Komponenten wie zusammenwirken, damit sich die Darbietung – und die dafür charakteristisch intensive Wirkung – entfalten kann. Im zweiten Teil wird der Audio-Walk als experimentelle mobile Methode für die künstlerische Forschung betrachtet. Im Zentrum steht dabei die Frage, wie sich das künstlerische Format nutzen lässt, um spezifische Fragestellungen an einen ausgewählten Personenkreis zu adressieren, der sich währenddessen in einer inszenierten Situation befindet. Der Schwerpunkt liegt dabei auf Audio-Walk-Experimenten, die mit dieser Absicht entwickelt wurden. Als Fallbeispiel für die Methode dient dabei die Zusammenarbeit mit einer Gruppe kürzlich nach Deutschland migrierter Frauen.
Money for nothing and content for free? Zahlungsbereitschaft für digitaljournalistische Inhalte
(2019)
Frei nach dem Motto "Money for nothing and content for free" werden tagesaktuelle Informationen ebenso wie aufwändig recherchierte Reportagen im Digitalen vornehmlich kostenfrei genutzt. Wie können journalistische Angebote sich also nachhaltig refinanzieren? Die vorliegende Studie stellt Nutzerinnen und Nutzer in den Mittelpunkt. Sie fragt nach den Gründen für fehlende Zahlungsbereitschaft sowie danach, warum und wofür gezahlt wird. Außerdem gibt sie Medienschaffenden konkrete Handlungsempfehlungen, um ihre journalistischen Produkte ansprechend zu gestalten und so die Zahlungsbereitschaft von Leserinnen und Lesern zu steigern.
True to the motto “Money for nothing and content for free”, both up-to-date information and thoroughly researched reporting are principally used free of charge in their digital forms. Considering this, how can journalism be funded sustainably? This study focuses on users and investigates the reasons for their lack of willingness to pay for content, as well as what they do pay for, and why.
In recent years the demand on dynamic analyses of existing structures in civil engineering has remarkably increased. These analyses are mainly based on numerical models. Accordingly, the generated results depend on the quality of the used models. Therefore it is very important that the models describe the considered systems such that the behaviour of the physical structure is realistically represented. As any model is based on assumptions, there is always a certain degree of uncertainty present in the results of a simulation based on the respective numerical model. To minimise these uncertainties in the prediction of the response of a structure to a certain loading, it has become common practice to update or calibrate the parameters of a numerical model based on observations of the structural behaviour of the respective existing system.
The determination of the behaviour of an existing structure requires experimental investigations. If the numerical analyses concern the dynamic response of a structure it is sensible to direct the experimental investigations towards the identification of the dynamic structural behaviour which is determined by the modal parameters of the system. In consequence, several methods for the experimental identification of modal parameters have been developed since the 1980ies.
Due to various technical restraints in civil engineering which limit the possibilities to excitate a structure with economically reasonable effort, several methods have been developed that allow a modal identification form tests with an ambient excitation. The approach of identifying modal parameters only from measurements of the structural response without precise knowledge of the excitation is known as output-only or operational modal analysis.
Since operational modal analysis (OMA) can be considered as a link between numerical modelling and simulation on the one hand and the dynamic behaviour of an existing structure on the other hand, the respective algorithms connect both the concepts of structural dynamics and mathematical tools applied within the processing of experimental data. Accordingly, the related theoretical topics are revised after an introduction into the topic.
Several OMA methods have been developed over the last decades. The most established algorithms are presented here and their application is illustrated by means of both a small numerical and an experimental example. Since experimentally obtained results always underly manifold influences, an appropriate postprocessing of the results is necessary for a respective quality assessment. This quality assessment does not only require respective indicators but should also include the quantification of uncertainties.
One special feature in modal testing is that it is common to instrument the structure in different sensor setups to improve the spacial resolution of identified mode shapes. The modal information identified from tests in several setups needs to be merged a posteriori. Algorithms to cope with this problem are also presented.
Due to the fact that the amount of data generated in modal tests can become very large, manual processing can become extremely expensive or even impossible, for example in the case of a long-term continuous structural monitoring. In these situations an automated analysis and postprocessing are essential. Descriptions of respective methodologies are therefore also included in this work.
Every structural system in civil engineering is unique and so also every identification of modal parameters has its specific challenges. Some aspects that can be faced in practical applications of operational modal analysis are presented and discussed in a chapter that is dedicated specific problems that an analyst may have to overcome. Case studies of systems with very close modes, with limited accessibility as well as the application of different OMA methods are described and discussed. In this context the focus is put on several types of uncertainty that may occur in the multiple stages of an operational modal analysis. In literature only very specific uncertainties at certain stages of the analysis are addressed. Here, the topic of uncertainties has been considered in a broader sense and approaches for treating respective problems are suggested.
Eventually, it is concluded that the methodologies of operatinal modal analysis and related technical solutions have been well-engineered already. However, as in any discipline that includes experiments, a certain degree of uncertainty always remains in the results. From these conclusions has been derived a demand for further research and development that should be directed towards the minimisation of these uncertainties and to a respective optimisation of the steps and corresponding parameters included in an operational modal analysis.
Railway systems are highly competitive compared with other means of transportation because of their distinct advantages in speed, convenience and safety. Therefore, the demand for railway transportation is increasing around the world. Constructing railway tracks and related engineering structures in areas with loose or soft cohesive subgrade usually leads to problems, such as excessive settlement, deformation and instability. Several remedies have been proposed to avoid or reduce such problems, including the replacement of soft soil and the construction of piles or stone columns.
This thesis aims to expand the geotechnical knowledge of how to improve subgrade ballasted railway tracks, using stone columns and numerical modeling for the railway infrastructure. Three aspects are considered: i) railway track dynamics modeling and validation by field measurements, ii) modeling and parametric studies on stone columns, and iii) studies on the linear and non-linear behavior of stone columns under the dynamic load of trains.
The first step of this research was to develop a reliable numerical model of a railway track. The finite element method in a time domain was used for either a 2D plane strain or 3D analysis. Individual methods for modeling a train load in 2D and 3D were implemented and are discussed in this thesis. The developed loading method was validated with three different railway tracks using obtained vibration measurements. Later, these numerical models were used to analyze the influence of stone column length and train speed in the stress field.
The performance of the treated ground depends on various parameters, such as the strength of stone columns, spacing, length and diameter of the columns. Therefore, the second step was devoted to a parameter study of stone columns as a unit cell with an axisymmetric condition. The results showed that even short stone columns were effective for settlement reduction, and area of replacement was the main influential parameter in their performance.
The third part of this thesis focuses on a hypothetical railway-track response to the passage of various train speeds and the influence of stone-column length. The stress-strain response of subgrade is analyzed under either an elastic–perfectly plastic or advanced constitutive model. The non-linear soil response in the finite element method and the impact of train speed and stone column length on railway tracks are also evaluated. Moreover, the reductions of induced vibration – in both a horizontal and a vertical direction – after improvement are investigated.
This book on the architecture of Tirana contains findings of the interdisciplinary seminar “TIRANA. Architecture as Political Actor” at Bauhaus-Universität Weimar. In photographs, texts and diagrams it shows the approach to an unknown city that was explored following the ideas of the Actor Network Theory (ANT). Thus, the book gives an insight into scientific as well as artistic works, both mirroring the attempt to grasp the role of architecture within political processes in the 20th century and today.
In this compilation of the architectural-political networks, an image of the city of Tirana emerges that gives an idea of specific built structures as well as of the architecture as political actor on a meta-level. In doing so, the book itself becomes an actor in the discussion of the relationship of architecture and politics in Albania and an example for the use of ANT as scientific-artistic tool for the research on architectural “things” in the context of a city.
Scalarization methods are a category of multiobjective optimization (MOO) methods. These methods allow the usage of conventional single objective optimization algorithms, as scalarization methods reformulate the MOO problem into a single objective optimization problem. The scalarization methods analysed within this thesis are the Weighted Sum (WS), the Epsilon-Constraint (EC), and the MinMax (MM) method. After explaining the approach of each method, the WS, EC and MM are applied, a-posteriori, to three different examples: to the Kursawe function; to the ten bar truss, a common benchmark problem in structural optimization; and to the metamodel of an aero engine exit module.
The aim is to evaluate and compare the performance of each scalarization method that is examined within this thesis. The evaluation is conducted using performance metrics, such as the hypervolume and the generational distance, as well as using visual comparison.
The application to the three examples gives insight into the advantages and disadvantages of each method, and provides further understanding of an adequate application of the methods concerning high dimensional optimization problems.
Großsiedlungen sind nicht nur ein Erbe der Moderne, sondern seit über drei Jahrzehnten Gegenstand der Stadterneuerung. Dieses Buch erörtert, was eine heute „normale“ Großsiedlung stadtplanerisch benötigt und welche stadtentwicklungs- als auch wohnungspolitisch gesteuerten Ressourcen in einer integrierten Planungssteuerung gebündelt werden sollten. Dabei wird das grundsätzliche Planungsinstrument des Quartiersmanagements aktualisiert – über den Gegenstand Großsiedlungen hinaus.
The study of memory, architecture, and urban space has been the interest of researchers from the diverse fields around the world due to, the significance of dealing with memories especially after the tragedy of the Second World War. Nations in Europe has chosen not to neglect their past, moreover, overcoming it by strengthening the national identity. An approach was clear in the literature, art, further in the way of rebuilding their cities; that mainly has reflected on the value of urban spaces and their role in narrating the country’s national memory. Thanks to this approach, which has supported the post-war European nations to invite to an act of forgiveness rather than to forget.
On the contrary, memory, in relation to architecture is a form of knowledge has been neglected in Egypt, especially during the previous decades after the declaration of independence from the colonial power, and since 1952 revolution. Recently, a rising debate about Egypt national history and the need to renationalize the Egyptian historical consciousness has rapidly grown up, due to the political transformation has occurred because of the 25th uprising, 2011, which unveiled the power of public spaces in constituting the nation thoughts, especially Tahrir square. At the same time, this has unveiled the results of neglecting the past instead of overcoming it; unveiled a present carries the danger of conflict and repeating previous mistakes.
Researchers, historians, politicians, governmental organization, have worked in the purpose of revisiting the historical information, and have tried to document the current transformation of the 25th uprising. There was a public demand for redesigning Tahrir square to reflect the memory of the uprising as a symbol of the power of the public. However, after eight years, those memories have faded as if the 25th uprising has never happened.
Those circumstances are very relevant to the gap between urban design and the art of memory-work, in the scientific field. Few studies in Egypt conducted the concept of memory in relation to urban spaces, however, the matter requires more attention, to associate the need for renationalizing Egypt memory, with viewing urban space as a mean of narrating the country’s national memory and reflecting the citizens' current thoughts, as a try of nearing the distances between competing narratives.
Therefore, the research aims at developing a methodological framework that should contribute to renationalizing memory through urban space. Further, benefiting from the German experience by investigating lessons to learn. That is based on the hypothesis that, although there is no fixed formula for all countries to renationalize the historical consciousness of memory through urban spaces, lessons to be learned from Germany experience could be a driving dimension when designing Egyptian urban spaces with a concept of memory as an essential factor.
To guide the validity of the study’s hypothesis, a set of research questions are thus formulated: Starting from why memory is an essential factor when designing urban spaces? Regarding Egypt national memory, how it was constituted through history and how to read its representation on urban spaces? Also, the study quests the means of nationalizing memory through urban spaces? And What are the learned lessons from the German experience?
The study tries to answer those questions. Via an inductive analytical methodology which moves from the gap of knowledge and from a particular situation in Egypt, to study the German experience in renationalizing the concept of memory through urban spaces.
Within the scope of the study, exploring Egypt prevailing narratives and the inherited concepts which influenced the national memory is essential. Moreover, the research develops analytical political psychosocial model that could help reading memories in urban spaces, memory’s actors, and memory influences. To validate this model, case studies are analysed in light of the concluded aspects. Consequently, the expected result is to infer broad general learned lessons for the Egyptian case.
Research findings and conclusions answer the research questions, interpret literature review, recommend some guide points to three target groups: first, practice field; to encourage designers to value the national and collective memories when designing urban spaces. Second, to ask policymakers to take the public participation into consideration, when taking decisions related to urban development. Third, the thesis recommends future researches of urban memory that connect theoretical information with the practice field.
Finally, enhancing the memory-work in relation to the national narrative, conveying a meaningful message, when designing urban spaces could encourage citizens to learn, to interact, and to dissolve boundaries between the competing narratives in post-conflict societies.
Die Dissertation umfasst eine vertiefende Untersuchung der denkmalpflegerischen Erfassung von Siedlungen und Wohnanlagen als eine der wichtigsten und umfangreichsten Bautypologien der 1950er bis 1980er Jahre in Westeuropa. Die Beschäftigung mit Bauten der 1950er bis 1980er Jahre führt bei Denkmalpflegern, Architekten, Bewohnern und Politikern immer wieder zu Überlegungen, ob diese besondere Erfassungs- und Erhaltungsstrategien erfordern. Dabei wirft die Typologie des Siedlungsbaus besondere Fragen auf, da sie neben architektonischen Aspekten auch städtebauliche, landschaftsplanerische und sozialwissenschaftliche Bedeutungsebenen umfasst. Nicht zuletzt sind Siedlungen der 1950er bis 1980er Jahre aus denkmalpflegerischer Sicht häufig stark gefährdet. Obwohl die meisten Siedlungen noch nicht ausreichend kunsthistorisch gewürdigt und erfasst sind, unterliegen sie einem hohen Veränderungsdruck. Die teilweise enorme städtebauliche Dimension und Monofunktionalität der Anlagen, die häufig aufgrund von seriellen Bautypen und vorfabrizierten Elementen gleichförmige architektonische Gestaltung und eine Vernachlässigung im Bauunterhalt erschweren den Zugang zu dieser Baugattung. Gewandelte Wohnbedürfnisse sowie bauphysikalische, energietechnische oder ästhetische Maßnahmen führen zur Veränderung der noch relativ jungen Bausubstanz. Zudem weisen Siedlungen der Nachkriegszeit aufgrund ihrer teilweise sehr großzügigen Freiraumstruktur ein großes Potential zur Nachverdichtung auf. Die Auswahl der in dieser Arbeit untersuchten Länder und Siedlungen ergab sich aus der Auswertung einer europaweiten Befragung von Denkmalämtern sowie anschließend geführten Gesprächen mit Fachleuten. Die untersuchten 20 Siedlungen und Wohnanlagen repräsentieren verschiedene Länder (Deutschland, Österreich, Schweiz, Frankreich, Niederlande, England) sowie Bauepochen und Siedlungstypologien, die von der Einfamilienhaussiedlung über Siedlungen mit gemischter Bautypologie hin zur Großsiedlung reichen. Anhand der unterschiedlichen Fallbeispiele wird aufgezeigt, inwiefern die jeweiligen Länder, Bauepochen beziehungsweise Siedlungstypologien Einfluss auf die denkmalpflegerischen Erfassungsstrategien haben. Zusammenfassend lässt sich resümieren, dass die Gesetzesgrundlagen und Denkmalkriterien für eine denkmalpflegerische Erfassung von Bauten der 1950er bis 1980er Jahre in den meisten Ländern konstant bleiben, während sich in den Bereichen Zeitpunkt, Auswahl und Einbindung der Öffentlichkeit eine Modifizierung oder zumindest eine Reflektion der bisherigen Strukturen abzeichnet. Sinnvoll und wünschenswert erscheint darüber hinaus ein verstärkter Austausch der Denkmalpflege über die nationalen Grenzen hinweg und ein gegenseitiges Lernen voneinander.
Matrix-free voxel-based finite element method for materials with heterogeneous microstructures
(2019)
Modern image detection techniques such as micro computer tomography
(μCT), magnetic resonance imaging (MRI) and scanning electron microscopy (SEM) provide us with high resolution images of the microstructure of materials in a non-invasive and convenient way. They form the basis for the geometrical models of high-resolution analysis, so called image-based analysis.
However especially in 3D, discretizations of these models reach easily the size of 100 Mill. degrees of freedoms and require extensive hardware resources in terms of main memory and computing power to solve the numerical model. Consequently, the focus of this work is to combine and adapt numerical solution methods to reduce the memory demand first and then the computation time and therewith enable an execution of the image-based analysis on modern computer desktops. Hence, the numerical model is a straightforward grid discretization of the voxel-based (pixels with a third dimension) geometry which omits the boundary detection algorithms and allows reduced storage of the finite element data structure and a matrix-free solution algorithm.
This in turn reduce the effort of almost all applied grid-based solution techniques and results in memory efficient and numerically stable algorithms for the microstructural models. Two variants of the matrix-free algorithm are presented. The efficient iterative solution method of conjugate gradients is used with matrix-free applicable preconditioners such as the Jacobi and the especially suited multigrid method. The jagged material boundaries of the voxel-based mesh are smoothed through embedded boundary elements which contain different material information at the integration point and are integrated sub-cell wise though without additional boundary detection. The efficiency of the matrix-free methods can be retained.
The capitalization of ‘certified’ sustainable building sector will be investigated over the power theory of value approach of Jonathan Nitzan and Shimshon Bichler. The study will be initiated by questioning why the environment problems are one of the first items on the agenda and by sharing the ideas of scholars who approaches the subject skeptically, because the predominant literature underlying the necessity and prominence of the topic is already well-known and adapted by the majority. Over the theory developed by Nitzan and Bichler, the concepts of capitalization, strategic sabotage, power, legitimacy, and obedience will be discussed. The hypothesis of “the absentee owners of the construction sector, holding the whip hand and capitalizing the ecology, control the growth and the creativity of green building production and make it carbon-dependent, in order to increase their profit margin” will be questioned. To strengthen the arguments in the hypothesis, the factors, the institutional arrangements, value measurement methods, which affect directly the net present value, will be investigated both in corporation and in building scale in detail, because net present value/ capitalization is asserted as the most important criteria by Nitzan and Bichler to make the investment decisions in the capitalist economic system. To trace the implications of power and the strategic sabotage that power caused, as the empirical dimension of this dissertation, an interface exploring the correlational ties between the climate responsive architecture and the ever changing political, economical, and social contexts and building economics praxis by decades will be developed and the expert interviews will be conducted with the design teams and the appraisers.
In der vorliegenden Arbeit wird die Bedeutung und Funktion des fotografischen Bildes und im Besonderen der Handyfotografie im Kontext von Internet und sozialen Onlinenetzwerken beschrieben, untersucht und diskutiert.
Im Spannungsfeld zwischen sozialwissenschaftlichen Theorien, foto- und medientheoretischem Diskurs sowie ästhetisch künstlerischen Perspektiven wird ausgelotet, welche konkreten visuellen und sozialen Formen die gegenwärtige mobile digitale Bildpraxis angenommen hat, wie sich ihre Gebrauchsweise innerhalb des globalen gesellschaftlichen Alltags darstellt, und in welcher Weise ihr spezielles Zusammenspiel aus „shooting“, „uploading“, „sharing“ zu neuen menschlichen Handlungsmustern und zur Schaffung neuer kultureller Realitäten beiträgt.
Die Dissertation „Hey! I’m an Angel! Zum Verhältnis von Medium, Subjekt und Wirklichkeit in Eija-Liisa Ahtilas Videoinstallationen“ untersucht in der Hauptsache vier zentrale Videoinstallationen Ahtilas aus den Jahren 1995 bis 2014. Grundlegend ist die These, dass Ahtilas Arbeiten nicht, wie bisher angenommen, in den Kontext einer medien-, erkenntnis- und subjektkritischen Videokunst einzuordnen sind. Stattdessen werden sie als mediale Vehikel intersubjektiv geprägter Wirklichkeitserfahrungen für das Subjekt bereitgestellt: Entgegen dem aktuellen Forschungsstand arbeitet sich Ahtila nicht an der Kritik des Mediums Film/Video ab, das einen wirklichkeitsverfälschenden oder -ersetzenden Einfluss auf das manipulierte Subjekt nimmt. Vielmehr nutzt die Künstlerin das Potenzial des Mediums Film/Video aus, um einem relativ stabilen Subjekt die Wirklichkeitserfahrungen Anderer zu öffnen und auf diese Weise seinen Erfahrungshorizont zu erweitern.
Der systematische Schwerpunkt der Arbeit liegt erstens darauf, ein sich durch Ahtilas bisheriges Schaffen ziehendes ‚Ziel‘ der Integration der Betrachterin in eine intersubjektive Erfahrungssphäre nachvollziehbar zu machen. Hierfür wird insbesondere eine Perspektive auf die frühen Arbeiten entwickelt, in der die Brüche in Ahtila Arbeiten integrative statt distanzierende Wirkung haben. Zweitens wird in eingehenden Analysen der Wandel verständlich, der sich zwischen Ahtilas früher Schaffensphase (1995 – 2002) und der aktuellen Schaffensphase (seit 2010) hinsichtlich der Art und Weise vollzieht, wie diese Integration gelingt. Es zeigt sich, dass der Einstieg in die intersubjektiv geprägten Erfahrungssphären in der frühen Phase ästhetisch konstituiert ist. Mit der aktuellen Schaffensphase werden hingegen alltägliche Formen der Empathie und Mimesis zentral, sowie deren leibliche Konsequenzen für die Betrachterin. Drittens wird eine zunehmende pragmatische Tendenz darin deutlich, die Integration der Betrachterin in die Erfahrungen Anderer zu ermöglichen. Dies wird vor dem Hintergrund eines allgemeinen pragmatischen Zuges aktueller zeitgeistiger Bewegungen erläutert. Viertens wird gezeigt, dass Ahtilas Arbeiten auf der Annahme einer Kontinuität in gewisser Hinsicht von der außerfilmischen Wirklichkeit in die filmische Fiktion hinein basieren, sowie auf dem Verständnis filmischer Fiktionen als virtuelle Weltfassungen. Ahtila fragt auf der Grundlage dieses Verständnisses filmischer Fiktion nicht nach der Wahrheit dieser Fiktion als These über die Wirklichkeit, wie es dem Forschungskanon über die Künstlerin zu entnehmen ist. Sondern nach der Wirksamkeit der filmischen Fiktion für die Wirklichkeit.