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This dissertation concerns the changing role of fashion in the context of modern cities. In approaching this process, the research investigates the media discourse based on representations of fashion by cities and of cities by fashion. Moreover, this research focuses on fashion understood as a multidimensional phenomenon that aims to provide an explanation of urban spaces through fashion terms, actions, and garments. Additionally, cities are considered from the cultural geography approach that highlights the cultural component of urban spaces expressed in social and cultural practices in physical reality. Following this idea, it is suggested here that fashion today not only participates in the urban life as its significant component but also creates city images and representations of urban lifestyle through the fashion paradigm. In other words, fashion redefines urban spaces; at the same time, urban spaces are interpreted as a stage for fashion processes.
By integrating in social research the fields of urban studies and fashion studies, this dissertation offers the discussion considering the fashion phenomenon not only as an urban phenomenon of modern reality. On the one hand, such discussion concerns the re-conceptualization of urban phenomena by the fashion influence; on the other hand, it relates the re-contextualization of fashion in a city. The empirical focus is based on the media context of fashion magazines in which variety of possibilities to represent fashion and cities lead to promising interpretations and analysis. The idea of representation specifies the ways of constructing the notion of urban space as fashionable space and the notion of fashion as placed in the urban context.
Advances in nanotechnology lead to the development of nano-electro-mechanical systems (NEMS) such as nanomechanical resonators with ultra-high resonant frequencies. The ultra-high-frequency resonators have recently received significant attention for wide-ranging applications such as molecular separation, molecular transportation, ultra-high sensitive sensing, high-frequency signal processing, and biological imaging. It is well known that for micrometer length scale, first-principles technique, the most accurate approach, poses serious limitations for comparisons with experimental studies. For such larger size, classical molecular dynamics (MD) simulations are desirable, which require interatomic potentials. Additionally, a mesoscale method such as the coarse-grained (CG) method is another useful method to support simulations for even larger system sizes.
Furthermore, quasi-two-dimensional (Q2D) materials have attracted intensive research interest due to their many novel properties over the past decades. However, the energy dissipation mechanisms of nanomechanical resonators based on several Q2D materials are still unknown. In this work, the addressed main issues include the development of the CG models for molybdenum disulphide (MoS2), investigation of the mechanism effects on black phosphorus (BP) nanoresonators and the application of graphene nanoresonators. The primary coverage and results of the dissertation are as follows:
Method development. Firstly, a two-dimensional (2D) CG model for single layer MoS2 (SLMoS2) is analytically developed. The Stillinger-Weber (SW) potential for this 2D CG model is further parametrized, in which all SW geometrical parameters are determined analytically according to the equilibrium condition for each individual potential term, while the SW energy parameters are derived analytically based on the valence force field model. Next, the 2D CG model is further simplified to one-dimensional (1D) CG model, which describes the 2D SLMoS2 structure using a 1D chain model. This 1D CG model is applied to investigate the relaxed configuration and the resonant oscillation of the folded SLMoS2. Owning to the simplicity nature of the 1D CG model, the relaxed configuration of the folded SLMoS2 is determined analytically, and the resonant oscillation frequency is derived analytically. Considering the increasing interest in studying the properties of other 2D layered materials, and in particular those in the semiconducting transition metal dichalcogenide class like MoS2, the CG models proposed in current work provide valuable simulation approaches.
Mechanism understanding. Two energy dissipation mechanisms of BP nanoresonators are focused exclusively, i.e. mechanical strain effects and defect effects (including vacancy and oxidation). Vacancy defect is intrinsic damping factor for the quality (Q)-factor, while mechanical strain and oxidation are extrinsic damping factors. Intrinsic dissipation (induced by thermal vibrations) in BP resonators (BPRs) is firstly investigated. Specifically, classical MD simulations are performed to examine the temperature dependence for the Q-factor of the single layer BPR (SLBPR) along the armchair and zigzag directions, where two-step fitting procedure is used to extract the frequency and Q-factor from the kinetic energy time history. The Q-factors of BPRs are evaluated through comparison with those of graphene and MoS2 nanoresonators. Next, effects of mechanical strain, vacancy and oxidation on BP nanoresonators are investigated in turn. Considering the increasing interest in studying the properties of BP, and in particular the lack of theoretical study for the BPRs, the results in current work provide a useful reference.
Application. A novel application for graphene nanoresonators, using them to self-assemble small nanostructures such as water chains, is proposed. All of the underlying physics enabling this phenomenon is elucidated. In particular, by drawing inspiration from macroscale self-assembly using the higher order resonant modes of Chladni plates, classical MD simulations are used to investigate the self-assembly of water molecules using
graphene nanoresonators. An analytic formula for the critical resonant frequency based on the interaction between water molecules and graphene is provided. Furthermore, the properties of the water chains assembled by the graphene nanoresonators are studied.
This dissertation is devoted to the theoretical development and experimental laboratory verification of a new damage localization method: The state projection estimation error (SP2E). This method is based on the subspace identification of mechanical structures, Krein space based H-infinity estimation and oblique projections. To explain method SP2E, several theories are discussed and laboratory experiments have been conducted and analysed.
A fundamental approach of structural dynamics is outlined first by explaining mechanical systems based on first principles. Following that, a fundamentally different approach, subspace identification, is comprehensively explained. While both theories, first principle and subspace identification based mechanical systems, may be seen as widespread methods, barely known and new techniques follow up. Therefore, the indefinite quadratic estimation theory is explained. Based on a Popov function approach, this leads to the Krein space based H-infinity theory. Subsequently, a new method for damage identification, namely SP2E, is proposed. Here, the introduction of a difference process, the analysis by its average process power and the application of oblique projections is discussed in depth.
Finally, the new method is verified in laboratory experiments. Therefore, the identification of a laboratory structure at Leipzig University of Applied Sciences is elaborated. Then structural alterations are experimentally applied, which were localized by SP2E afterwards. In the end four experimental sensitivity studies are shown and discussed. For each measurement series the structural alteration was increased, which was successfully tracked by SP2E. The experimental results are plausible and in accordance with the developed theories. By repeating these experiments, the applicability of SP2E for damage localization is experimentally proven.
Die hier vorliegende Arbeit befasst sich mit dem Modifizieren von Computerspielen (Modding). Die Annäherung an das Modding geschieht aus zwei unterschiedlichen Blickrichtungen: Zum einen wird mit einem analytischen Blick auf das Themenfeld geschaut, der das bereits Erforschte mit den eigenen Suchbewegungen kombiniert. Zum anderen wird die Perspektive der Handlung eingenommen, die sich in der Widerständigkeit des Materials, der Werkzeuge und der Spieltechnologie äußert. Im Mittelpunkt der Auseinandersetzung stehen das Modding als Praxis, die Mods als Derivate und die Erforschung des Computerspiels mit den Praktiken und Derivaten des Modifizierens. Das Modding wird so zu einer epistemischen Praxis des Computerspiels.
Die hier formulierten Überlegungen zum Modding, als eine forschende Praxis des Computerspiels, präsentieren eine Vorgehensweise, die ästhetische, widerständige und stabilisierende Aspekte in sich vereint. Sie dient der Erforschung des Computerspiels entlang seiner Diskussionen, Materialien, Technologien und Praktiken und fokussiert hierbei auf das Abseitige, dass als integraler Bestandteil des Computerspiels verstanden wird. Mit diesem Blick auf die Grenzen des Computerspielens werden Dinge sichtbar, die zwar Teil der synthetischen Computerspielwelten sind, durch dessen Inszenierungen und Atmosphären jedoch verschleiert werden. Der hier entwickelte Ansatz ermöglicht einen Perspektivenwechsel innerhalb dieser Welten und die Erforschung des Computerspiels unter besonderer Berücksichtigung seiner eingeschriebenen Normen und Machtverhältnissen. Das Modding dient hierbei als eine kritische Praxis zur Entschlüsselung dieser medial vermittelten Konstellationen.
SEEING HISTORY - THE AUGMENTED ARCHIVE erforscht – in Theorie und Praxis – die Medialitäten des Archivs in Zeiten des Übergangs vom Speichermedium hin zum Modus des Übertragens. Am Beispiel Ägyptens seit den politischen Umwälzungen 2011 wird ein neues Archivsystem entwickelt, das mit Hilfe von Augmented Reality Technologie - d.h. der virtuellen Erweiterung des Realraums von mobiler Videotechnik durch Metainformationen - das umfassendste bestehende Videoarchiv zur ägyptischen Revolution im Stadtraum Kairos per GPS-Kodierung zur Verfügung stellt.
Polymeric nanocomposites (PNCs) are considered for numerous nanotechnology such as: nano-biotechnology, nano-systems, nanoelectronics, and nano-structured materials. Commonly , they are formed by polymer (epoxy) matrix reinforced with a nanosized filler. The addition of rigid nanofillers to the epoxy matrix has offered great improvements in the fracture toughness without sacrificing other important thermo-mechanical properties. The physics of the fracture in PNCs is rather complicated and is influenced by different parameters. The presence of uncertainty in the predicted output is expected as a result of stochastic variance in the factors affecting the fracture mechanism. Consequently, evaluating the improved fracture toughness in PNCs is a challenging problem.
Artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) have been employed to predict the fracture energy of polymer/particle nanocomposites. The ANN and ANFIS models were constructed, trained, and tested based on a collection of 115 experimental datasets gathered from the literature. The performance evaluation indices of the developed ANN and ANFIS showed relatively small error, with high coefficients of determination (R2), and low root mean square error and mean absolute percentage error.
In the framework for uncertainty quantification of PNCs, a sensitivity analysis (SA) has been conducted to examine the influence of uncertain input parameters on the fracture toughness of polymer/clay nanocomposites (PNCs). The phase-field approach is employed to predict the macroscopic properties of the composite considering six uncertain input parameters. The efficiency, robustness, and repeatability are compared and evaluated comprehensively for five different SA methods.
The Bayesian method is applied to develop a methodology in order to evaluate the performance of different analytical models used in predicting the fracture toughness of polymeric particles nanocomposites. The developed method have considered the model and parameters uncertainties based on different reference data (experimental measurements) gained from the literature. Three analytical models differing in theory and assumptions were examined. The coefficients of variation of the model predictions to the measurements are calculated using the approximated optimal parameter sets. Then, the model selection probability is obtained with respect to the different reference data.
Stochastic finite element modeling is implemented to predict the fracture toughness of polymer/particle nanocomposites. For this purpose, 2D finite element model containing an epoxy matrix and rigid nanoparticles surrounded by an interphase zone is generated. The crack propagation is simulated by the cohesive segments method and phantom nodes. Considering the uncertainties in the input parameters, a polynomial chaos expansion (PCE) surrogate model is construed followed by a sensitivity analysis.
Im Rahmen der Dissertation ist ein analytisches Berechnungsverfahren zur Ermittlung der Kapazität in lichtsignalgeregelten Zufahrten mit zusätzlichen Aufstellstreifen bei gleichzeitiger Freigabezeit entwickelt worden, dass sich durch folgende Eigenschaften auszeichnet:
a) einfaches Berechnungsverfahren – Ansatz eines einfachen linearen Berechnungsansatzes, der auf den Grundzusammenhängen des Verkehrsablaufs in lichtsignalgeregelten Zufahrten aufbaut,
b) breites Anwendungsgebiet – Berechnungsverfahren kann in Zufahrten mit bis zu zwei zusätzlichen Aufstellstreifen angewendet werden,
c) hohe Genauigkeit – Im Rahmen eines direkten Vergleichs konnte u. a.
gezeigt werden, dass mit dem hergeleiteten analytischen Berechnungsverfahren genauere Kapazitätswerte ermittelt werden können, als mit dem Berechnungsverfahren nach HBS 2015.
In computer-aided design (CAD), industrial products are designed using a virtual 3D model. A CAD model typically consists of curves and surfaces in a parametric representation, in most cases, non-uniform rational B-splines (NURBS). The same representation is also used for the analysis, optimization and presentation of the model. In each phase of this process, different visualizations are required to provide an appropriate user feedback. Designers work with illustrative and realistic renderings, engineers need a
comprehensible visualization of the simulation results, and usability studies or product presentations benefit from using a 3D display. However, the interactive visualization of NURBS models and corresponding physical simulations is a challenging task because of the computational complexity and the limited graphics hardware support.
This thesis proposes four novel rendering approaches that improve the interactive visualization of CAD models and their analysis. The presented algorithms exploit latest graphics hardware capabilities to advance the state-of-the-art in terms of quality, efficiency and performance. In particular, two approaches describe the direct rendering of the parametric representation without precomputed approximations and timeconsuming pre-processing steps. New data structures and algorithms are presented for the efficient partition, classification, tessellation, and rendering of trimmed NURBS surfaces as well as the first direct isosurface ray-casting approach for NURBS-based isogeometric analysis. The other two approaches introduce the versatile concept of programmable order-independent semi-transparency for the illustrative and comprehensible visualization of depth-complex CAD models, and a novel method for the hybrid reprojection of opaque and semi-transparent image information to accelerate stereoscopic rendering. Both approaches are also applicable to standard polygonal geometry which contributes to the computer graphics and virtual reality research communities.
The evaluation is based on real-world NURBS-based models and simulation data. The results show that rendering can be performed directly on the underlying parametric representation with interactive frame rates and subpixel-precise image results. The computational costs of additional visualization effects, such as semi-transparency and stereoscopic rendering, are reduced to maintain interactive frame rates. The benefit of this performance gain was confirmed by quantitative measurements and a pilot user study.
Keine Ahnung? Landschaft!
(2018)
... soll auf den folgenden Seiten eine dritte Richtung angedeutet und vorgezeichnet werden, die ebenso Interesse am Erkenntnisgewinn durch das Thema Landschaft bekundet, dies hingegen aus der Umkehrung heraus erreichen will. Dreht man den Richtungspfeil, stehen wir ihr, der Landschaft, gegenüber. Vom Modus des Aktiven geraten wir in die Passivität. Damit wird eine Korrektur der Fragestellung möglich. Es entsteht eine Perspektive, die die Überlegungen zulässt: Was die Landschaft eigentlich mit uns macht?, welchen Horizont sie uns eröffnet und entstehen lässt, welche Bedeutung und welche Qualität wir dem ›Landschaftlichen‹ zuschreiben können, worin die Notwendigkeit ihres Erhalts und der Nutzen für die gegenwärtige Gesellschaft bestehen kann.
Polymer-modified cement concrete (PCC) is a heterogeneous building material with a hierarchically organized microstructure. Therefore, continuum micromechanics-based multiscale models represent a promising method to estimate the mechanical properties. By means of a bottom-up approach, homogenized properties at the macroscopic scale are derived considering microstructural characteristics. The extension of existing multiscale models for the application to PCC is the main objective of this work. For that, cross-scale experimental studies are required. Both macroscopic and microscopic mechanical tests are performed to characterize the elastic and viscoelastic properties of different PCC. The comparison between experiment and model prediction illustrates the success of the modeling approach.