Refine
Document Type
- Article (38)
- Doctoral Thesis (37)
- Conference Proceeding (4)
- Book (3)
- Master's Thesis (3)
- Other (3)
- Periodical (2)
- Working Paper (2)
- Bachelor Thesis (1)
- Review (1)
Institute
- Institut für Strukturmechanik (ISM) (21)
- Institut für Europäische Urbanistik (11)
- Professur Bauphysik (7)
- Bauhaus-Institut für zukunftsweisende Infrastruktursysteme (b.is) (4)
- Professur Werkstoffe des Bauens (4)
- Professur Modellierung und Simulation - Mechanik (3)
- Professur Stahl- und Hybridbau (3)
- Promotionsstudiengang Kunst und Design-Freie Kunst-Medienkunst (Ph.D) (3)
- DFG-Graduiertenkolleg 2227 "Identität und Erbe" (2)
- Junior-Professur Organisation und vernetzte Medien (2)
Keywords
- OA-Publikationsfonds2022 (26)
- Beton (5)
- Maschinelles Lernen (5)
- Architektur (4)
- Denkmalpflege (4)
- Finite-Elemente-Methode (4)
- Isogeometric Analysis (4)
- Isogeometrische Analyse (4)
- Peridynamics (3)
- Peridynamik (3)
- Stadtforschung (3)
- Anonymer Krankenschein (2)
- Bridge (2)
- Brücke (2)
- Building Information Modeling (2)
- Design (2)
- Designforschung (2)
- Digitalisierung (2)
- Entrepreneurship (2)
- Ernährung (2)
- Finite Element Method (2)
- Geschichte (2)
- Gestaltoptimierung (2)
- Gips (2)
- Hydratation (2)
- Informatik (2)
- Inspection (2)
- Inspektion (2)
- Journalismus (2)
- Kritik (2)
- Kritikbegriff (2)
- Kunst (2)
- Künstlerische Forschung (2)
- Lebenszyklus (2)
- Living wall (2)
- Measurements (2)
- Medienwissenschaft (2)
- Migration (2)
- Mikrokapsel (2)
- Online-Medien (2)
- Partielle Differentialgleichung (2)
- Phasenfeldmodell (2)
- Robustheit (2)
- Shape Optimization (2)
- Stadt (2)
- Stadtplanung (2)
- Transfer learning (2)
- Transformation (2)
- Variational principle (2)
- Zivilgesellschaft (2)
- crowdsourcing (2)
- elementary interaction (2)
- platform (2)
- set of objectives (2)
- 3D-Printing (1)
- AI, computational thinking (1)
- ANTROPOLOGÍA (1)
- Abwasserreinigung (1)
- Abwassertechnologie (1)
- Acoustic Travel-Time Tomography (1)
- Activation function (1)
- Adaptive Pushover (1)
- Adaptive central high resolution schemes (1)
- Adaptives System (1)
- Agoraphobie (1)
- Aktivismus (1)
- Akustische Laufzeit-Tomographie (1)
- Alexandria (1)
- Algorithmus (1)
- Alltagskritik (1)
- Amplifikationsprozesse (1)
- Analytical Solution (1)
- Analytische Lösung (1)
- Angewandte Mathematik (1)
- Anonymer Behandlungsschein (1)
- Anthologie (1)
- Anthology (1)
- Architecture (1)
- Architecture Pollution (1)
- Artificial Intelligence (1)
- Artificial coral reefs (1)
- Astrologie (1)
- Astrology (1)
- Astronomie (1)
- Auswirkung (1)
- Automation (1)
- BIM <CAD> (1)
- Bauablaufplanung (1)
- Bauchemie (1)
- Bauhaus.MobilityLab (1)
- Bauinformatik (1)
- Bauklimatik (1)
- Bauphysik (1)
- Bauphysik und Sanierung (1)
- Bauschaden (1)
- Bauwesen (1)
- Bayesian parameter update (1)
- Benutzererlebnis (1)
- Berlin <West> (1)
- Beteiligung (1)
- Beteiligungsforschung (1)
- Betonverflüssiger (1)
- Bildanalyse (1)
- Bilddaten (1)
- Bildverarbeitung (1)
- Blumenberg, Hans (1)
- Boundary Element Method (1)
- Bruchverhalten (1)
- CAD (1)
- Cable-driven parallel robots (1)
- Capsular clustering; Design of microcapsules (1)
- Citizen participation (1)
- Cohesive surface technique (1)
- Collocation method (1)
- Community (1)
- Comparative History (1)
- Computational contact mechanics (1)
- Computational fracture modeling (1)
- Computational modelling (1)
- Computer-Aided Design (1)
- Computermodellierung des Bruchverhaltens (1)
- Concept of Living (1)
- Concrete (1)
- Continuum Mechnics (1)
- Cryogenic Suction (1)
- Curved thin-walled circular pipes (1)
- Damage (1)
- Damage Information Modeling (1)
- Damage Segmentation (1)
- Damage accumulation (1)
- Damage mechanism (1)
- Damm (1)
- Data-driven (1)
- Datenkompetenz (1)
- Dauerhaftigkeit (1)
- Debatte (1)
- Deep Energy Method (1)
- Deep learning (1)
- Defekt (1)
- Delphin (1)
- Denkmalpflege, Architektur, Kunst , Kunstgeschichte , Geschichte , Tradition , Stabilität , Dekonstruktion, Identität, Erbe (1)
- Design Spectra (1)
- Design, UX, Human-Centered-Design (1)
- Digital Health (1)
- Digital Humanities (1)
- Digital technologies (1)
- Digitale Medien (1)
- Discrete function theory (1)
- Discrete fundamental solution (1)
- Discrete potential theory (1)
- Diskrete Fundamentallösung (1)
- Diskrete Funktionentheorie (1)
- Diskrete Potentialtheorie (1)
- Dokumentation (1)
- Domain Adaptation (1)
- Domed Cities (1)
- Dual-support (1)
- Dynamic Analysis (1)
- Dynamische Analyse (1)
- ECOLOGÍA POLÍTICA (1)
- ENVI-Met (1)
- ENVI-met (1)
- ESTUDIOS URBANOS (1)
- Ecology in design (1)
- Elastizitätstheorie (1)
- Elektrostatische Welle (1)
- Elementanalyse (1)
- Empire XPU 8.01 (1)
- Empirische Sozialforschung (1)
- Energiewende (1)
- Entrepreneurial Orientation (1)
- Entwurf von Mikrokapseln (1)
- Envi-Met (1)
- Environmental studies (1)
- Erbe (1)
- Erbeben (1)
- Ernährungsgerechtigkeit (1)
- Ernährungswende (1)
- Error estimation (1)
- Erweiterte Finite-Elemente-Methode (1)
- Ethnography (1)
- European Urban Studies (1)
- Explorative Suche (1)
- Extreme value distribution (1)
- Facility Management (1)
- Fahrrad (1)
- Fahrradaktivismus (1)
- Fahrradfahren (1)
- Fassadenbegrünung (1)
- Fatigue life (1)
- Fehlerabschätzung (1)
- Feuchteleitung (1)
- Finite Element Analysis (1)
- First Order Reliability Method (1)
- Fließmittel (1)
- Forschung (1)
- Fotokatalyse (1)
- Frost (1)
- Functionally Graded Materials (1)
- Gated Communities (1)
- Gegenwissen (1)
- Gegenwissenschaft (1)
- Gemeinwohl (1)
- Generalized Beam Theory (GBT) (1)
- Genossenschaften (1)
- Gentrifizierung (1)
- Geometric Partial Differential Equations (1)
- Geometrically nonlinear analysis (1)
- Geschlossene Gesellschaft (1)
- Gesundheit (1)
- Gesundheitsversorgung (1)
- Gewalt (1)
- Gips-Zement-Puzzolan-Bindemittel (1)
- Globe thermometers (1)
- Glue Spall (1)
- Grauguss (1)
- Grauwasser (1)
- Green facade (1)
- Gummi (1)
- HISTORIA (1)
- HISTORIA AMBIENTAL (1)
- Heat transport (1)
- Helmholtz Acoustic Problems (1)
- Herrschaftskritik (1)
- High precision underwater monitoring (1)
- Historical Sociology (1)
- Historische Soziologie (1)
- History (1)
- Hitze (1)
- Hochwasser (1)
- Hochwasserschadensmodell (1)
- Human-centered Design (1)
- Hydrodynamik (1)
- Hyperbolic PDEs (1)
- Identität (1)
- Impact (1)
- Implicit (1)
- Indoor environment (1)
- Informal Urbanization (1)
- Information Retrieval (1)
- Information design (1)
- Infrastrukturplanung (1)
- Innovationsmanagement (1)
- Instabilität (1)
- Interaction design (1)
- Internet (1)
- Jena (1)
- Journalistik (1)
- KMU (1)
- Kalk (1)
- Kant, Immanuel (1)
- Kapselclustern (1)
- Kautschuk (1)
- Klein- und Mittelbetrieb (1)
- Klimawandel (1)
- Ko-Produktion (1)
- Kohäsionsflächenverfahren (1)
- Kollokationsmethode (1)
- Kolonialismus (1)
- Kommune (1)
- Kommunität (1)
- Kooperation (1)
- Korallenriff (1)
- Kultur (1)
- Kulturerbe (1)
- Kuppelstadt (1)
- Kupplung (1)
- Körper (1)
- Körperbild (1)
- Künstliche Intelligenz (1)
- Künstliche Korallenriffe (1)
- Landscape (1)
- Landschaft (1)
- Laser-Ultraschall (1)
- Lasertechnologie (1)
- Lebensdauerabschätzung (1)
- Lebensmittelpunkt (1)
- Lehm (1)
- Lehmbau (1)
- Leila Roy-Sokhey (1)
- Leitfaden (1)
- Liegenschaft (1)
- Life cycle assessment (1)
- Living-wall (1)
- Loading sequence (1)
- MATLAB (1)
- Machine Learning (1)
- Machine learning (1)
- Mathematische Modellierung (1)
- Matlab (1)
- Mauerwerk (1)
- Mean radiant temperature (1)
- Medienarchäologie (1)
- Mediendesign (1)
- Medienforschung (1)
- Medienkultur (1)
- Meeresökologie (1)
- Menaka <Madame> (1)
- Menaka-Archiv (1)
- Messung (1)
- Metapher (1)
- Metaphorik (1)
- Mikroklima (1)
- Mikroskopie (1)
- Mobilität (1)
- Mobilitätsforschung (1)
- Modellierung (1)
- Moisture transport (1)
- Molecular Dynamics Simulation (1)
- Molekulardynamik (1)
- Multikriteria-Entscheidung (1)
- Multikriterielle Entscheidungsanalyse (1)
- Multiphysics (1)
- NURBS (1)
- NURBS geometry (1)
- Nachrichtensendung (1)
- Nanoverbundstruktur (1)
- Navier–Stokes equations (1)
- Neuronales Lernen (1)
- Nichtlokale Operatormethode (1)
- Nonlocal operator method (1)
- Numerical Simulation (1)
- Numerical Simulations (1)
- ORDENAMIENTO TERRITORIAL (1)
- Objektorientierung (1)
- Observational astronomy (1)
- Open Innovation (1)
- Operations Research (1)
- Operator energy functional (1)
- Optimierung (1)
- PAISAJE (1)
- Partial Differential Equations (1)
- Partizipation (1)
- Phase field method (1)
- Phase-field modeling (1)
- Planetarium (1)
- Political ecology (1)
- Polymer compound (1)
- Polymere (1)
- Polymerverbindung (1)
- Porous Materials (1)
- Poröser Stoff (1)
- Potential problem (1)
- Produktdaten (1)
- Prozessmodell (1)
- Punktwolke (1)
- Quartiersanalyse (1)
- Rainflow counting algorithm (1)
- Randelemente-Methode (1)
- Raumordnung (1)
- Realexperimente (1)
- Reallabor (1)
- Relationale Raummodelle (1)
- Reliabilität (1)
- Residual-based variational multiscale method (1)
- Ressourcen (1)
- Rissausbreitung (1)
- Rissbildung (1)
- Robotik (1)
- Rotorblatt (1)
- Safety factor (1)
- Salt frost attack (1)
- Schadensakkumulation (1)
- Schadensprognose (1)
- Schwellenwert (1)
- Segregation (1)
- Segregation <Soziologie> (1)
- Seismic risk (1)
- Selbstheilendem Beton (1)
- Self-healing concrete (1)
- Sicherheitsfaktor (1)
- Simulation (1)
- Simulations (1)
- Smart Health (1)
- Smart Textiles (1)
- Software (1)
- Soziologie (1)
- Stabilisierung (1)
- Stadtbegriff (1)
- Stadtgeschichte (1)
- Stadtklima (1)
- Stahl (1)
- Stiffness matrix (1)
- Strahlungstemperatur (1)
- Structural health monitoring (1)
- Strukturbildung (1)
- Strukturdynamik (1)
- Strukturkrise (1)
- Strukturmechanik (1)
- Strukturschaden (1)
- Strömungsgeschwindigkeit (1)
- Städtische Wärmeinsel (1)
- Stärkefließmittel (1)
- Synthese (1)
- TERRITORIO (1)
- Taylor Series Expansion (1)
- Taylor series expansion (1)
- Technisches Denkmal (1)
- Technologie (1)
- Territorial planning (1)
- Territorium (1)
- Territory (1)
- Theorie (1)
- Thermal comfort (1)
- Thermoelastic damping (1)
- Tichonov-Regularisierung (1)
- Tikhonov regularization (1)
- Tomographie (1)
- Topologieoptimierung (1)
- Topology Optimization (1)
- Tragfähigkeit (1)
- Transmission problem (1)
- Transmissionsaufgabe (1)
- Träger (1)
- UNESCO (1)
- Ultraschall (1)
- Umweltbilanz (1)
- Umweltforschung (1)
- Umweltverschutzung (1)
- Uncertainty (1)
- Ungewissheit (1)
- Unternehmensgründung (1)
- Unterwasserarchitektur (1)
- Urban Agoraphobia (1)
- Urban Planning (1)
- Urbanistik (1)
- Variationsprinzip (1)
- Verstädterung (1)
- Verwaltung (1)
- Vesicle dynamics (1)
- Vesikel (1)
- Videokonferenz (1)
- Videotelefonie (1)
- Volkskunde (1)
- Vulnerability assessment (1)
- Wavelet (1)
- Wavelet based adaptation (1)
- Wearable Computing (1)
- Wearable Technology (1)
- Web archive (1)
- Werkstoffdämpfung (1)
- Werkstoffprüfung (1)
- Wind load (1)
- Windkraftwerk (1)
- Windlast (1)
- Wissenschaft (1)
- Wissenschaftskritik (1)
- Wissenschaftspolitik (1)
- Wohlfahrtsregime (1)
- Wohnform (1)
- Wohnungsforschung (1)
- Wärmeübertragung (1)
- XFEM (1)
- Zement (1)
- Zementhydratation (1)
- Zerstörungsfreie Werkstoffprüfung (1)
- Zusatzmittel (1)
- adaptive contact (1)
- art installation (1)
- audience studies (1)
- capsular clustering (1)
- circumferential contact length (1)
- climate loads (1)
- collaboration (1)
- colonialism (1)
- communicative action (1)
- concrete (1)
- content platforms (1)
- coupling (1)
- crack (1)
- crack detection (1)
- damage identification (1)
- dams (1)
- decay experiments (1)
- deep learning (1)
- degradation (1)
- digital journalism (1)
- documentation (1)
- dual-support (1)
- elastische Parameter (1)
- electromagnetic waves (1)
- energy dissipation (1)
- energy per order (1)
- experimentelles Wissen (1)
- field repair organization (1)
- flexural-torsional-buckling (1)
- full-waveform inversion (1)
- geografische Metapher (1)
- grey water treatment (1)
- historical spatial analysis (1)
- history (1)
- inverse analysis (1)
- journalism products (1)
- keyqueries (1)
- kritische Stadtforschung (1)
- ländlicher Raum (1)
- mathematical modelling (1)
- media work (1)
- micro-pollutant treatment (1)
- microcapsule (1)
- micropolar elasticity (1)
- modal damping (1)
- model comparison (1)
- modern industries (1)
- multi-criteria decision analysis (1)
- multi-criteria decision analysis; (1)
- multiscale (1)
- nanocomposite (1)
- natural latex (1)
- neural architecture search (1)
- news media start-up (1)
- nonlocal Hessian operator (1)
- nonlocal operator method (1)
- nonstationarity (1)
- operator calculus (1)
- operator energy functional (1)
- photocatalysis (1)
- process, tools, methods (1)
- public private partnership (1)
- quaternionic analysis (1)
- randomized spectral representation (1)
- rapid assessment (1)
- reactor design (1)
- rubber industry (1)
- self-healing concrete (1)
- semi-probabilistic concept (1)
- social theory (1)
- stability (1)
- steel (1)
- stochastic (1)
- titanium dioxid (1)
- transmitted light microscopy (1)
- triad of violence (1)
- urban heat island effect (1)
- urban history (1)
- urban studies (1)
- variational principle (1)
- vertical green system (1)
- videocall (1)
- videochat (1)
- videoconference (1)
- violence (1)
- wave propagation (1)
- wind turbine rotor blades (1)
- zivilgesellschaftliches Engagement (1)
- Ägypten (1)
- öffentlich-zivilgesellschaftliche Partnerschaft (1)
Year of publication
- 2022 (94) (remove)
Ob MP3-Player, Elektro-Jet oder Hochgeschwindigkeits-Röntgendetektor – hinter erfolgreichen Produkten stehen wissenschaftliche Erfindungen und Wissenschaftler*innen, die ihre Technologien kommerzialisiert haben.
Auch Ihre Forschungsergebnisse könnten Potenzial für eine Ausgründung bieten. Doch vor dem Wechsel aus der Universität in die Selbstständigkeit stehen viele Fragen: Welche Marktchancen ergeben sich für meine Technologie? Welche Kompetenzen benötige ich in meinem Gründungsteam? Wie entwickle ich ein tragfähiges Geschäftsmodell? Und nicht zuletzt: Welche Förderprogramme und Finanzierungsoptionen gibt es für forschungsbasierte Ausgründungen? Das Workbook der Gründerwerkstatt neudeli möchte Ihnen als Wissenschaftler*in Unterstützung bei der Beantwortung dieser und vieler weiterer Fragen geben.
Liebevoll gestaltet durch die parzelle34 bietet das Workbook den geeigneten Einstieg zum Thema »Ausgründung aus der Wissenschaft«, gibt Ihnen erste Informationen sowie weiterführende Beratungsangebote an die Hand und animiert mit interaktiven Elementen dazu, direkt durchzustarten!
Städten kam bei demokratischen Innovationsprozessen immer eine zentrale Rolle zu. Die öffentlichen Verwaltungen der großen Städte stellten Regeln für die Einführung und Ausweitung der bürgerschaftlichen Partizipation auf und reagierten damit auf Erfahrungen und Forderungen, die von der schöpferischen politischen Kraft der sozialen und urbanen Bewegungen getragen wurden. Die Geschichte Barcelonas ist dafür ein typisches Beispiel.
Dank dieser sozialen Errungenschaften können wir von einer Reihe von Gütern und Dienstleistungen profitieren, die lokale Wohlfahrtssysteme ausmachen. Die Stadtverwal-tungen übernehmen die Aufgabe, Ressourcen und Dienstleistungen bereitzustellen, die nicht nur mit Wohlfahrt und Gesundheit in Verbindung stehen, sondern auch mit der Sorge um Umfeld und Umwelt, mit der Förderung von Maßnahmen in Bereichen wie Bildung, Kultur, Kunst oder Sport sowie mit der Dynamisierung von Wirtschaft und Gesellschaft. Ob zuständig oder nicht, die Kommunen müssen auf die Forderungen der Bürger*innen reagieren, sind sie doch die Verwaltungen, die den alltäglichen Problemen und Bedürfnissen am nächsten stehen. Daher liegt es weniger im Belieben der Stadtverwaltungen, ob sie notwendige Innova¬tionen anstoßen, sondern diese sind vielmehr Teil ihres Aufgabenbereichs.
Um den Bedürfnissen der Bürger*innen seitens der öffentlichen Verwaltung gerecht zu werden, kam in den meisten Fällen eine von zwei Methoden zur Anwendung: die direkte Verwaltung durch die Behörden oder die indirekte Verwaltung mit dem privaten Sektor. Mit dem Anbruch einer neuen Zeit, in der alternative Methoden an Bedeutung gewonnen haben, wächst das Interesse an Modellen öffentlich-zivilgesellschaftlicher Zusammenarbeit. Hauptziel dieser Modelle ist es, Verwaltungen und Bürgerschaft eine Zusammenarbeit im gemeinsamen und allgemeinen Interesse zu ermöglichen, indem Projekte unterstützt werden, die Zugang, Nähe und Partizipation in sich vereinen. Vor diesem Hintergrund bietet die Verwaltung öffent¬licher Ressourcen Möglichkeiten zur Entwicklung neuer Formen kollektiver Intelligenz, mit ge¬meinsamer Verantwortung und Synergie zwischen Institution und Bürgerschaft, sodass die Städte zu wahrhaft kooperativen Plattformen für öffentliche Innovationen werden.
Vertical green system for gray water treatment: Analysis of the VertiKKA-module in a field test
(2022)
This work presents a modular Vertical Green System (VGS) for gray water treatment, developed at the Bauhaus-Universität Weimar. The concept was transformed into a field study with four modules built and tested with synthetic gray water. Each module set contains a small and larger module with the same treatment substrate and was fed hourly. A combination of lightweight structural material and biochar of agricultural residues and wood chips was used as the treatment substrate. In this article, we present the first 18 weeks of operation. Regarding the treatment efficiency, the parameters chemical oxygen demand (COD), total phosphorous (TP), ortho-phosphate (ortho-P), total bound nitrogen (TNb), ammonium nitrogen (NH4-N), and nitrate nitrogen (NO3-N) were analyzed and are presented in this work. The results of the modules with agricultural residues are promising. Up to 92% COD reduction is stated in the data. The phosphate and nitrogen fractions are reduced significantly in these modules. By contrast, the modules with wood chips reduce only 67% of the incoming COD and respectively less regarding phosphates and the nitrogen fraction.
One of the most important renewable energy technologies used nowadays are wind power turbines. In this paper, we are interested in identifying the operating status of wind turbines, especially rotor blades, by means of multiphysical models. It is a state-of-the-art technology to test mechanical structures with ultrasonic-based methods. However, due to the density and the required high resolution, the testing is performed with high-frequency waves, which cannot penetrate the structure in depth. Therefore, there is a need to adopt techniques in the fields of multiphysical model-based inversion schemes or data-driven structural health monitoring. Before investing effort in the development of such approaches, further insights and approaches are necessary to make the techniques applicable to structures such as wind power plants (blades). Among the expected developments, further accelerations of the so-called “forward codes” for a more efficient implementation of the wave equation could be envisaged. Here, we employ electromagnetic waves for the early detection of cracks. Because in many practical situations, it is not possible to apply techniques from tomography (characterized by multiple sources and sensor pairs), we focus here on the question of whether the existence of cracks can be determined by using only one source for the sent waves.
For the safe and efficient operation of dams, frequent monitoring and maintenance are required. These are usually expensive, time consuming, and cumbersome. To alleviate these issues, we propose applying a wave-based scheme for the location and quantification of damages in dams.
To obtain high-resolution “interpretable” images of the damaged regions, we drew inspiration from non-linear full-multigrid methods for inverse problems and applied a new cyclic multi-stage full-waveform inversion (FWI) scheme. Our approach is less susceptible to the stability issues faced by the standard FWI scheme when dealing with ill-posed problems. In this paper, we first selected an optimal acquisition setup and then applied synthetic data to demonstrate the capability of our approach in identifying a series of anomalies in dams by a mixture of reflection and transmission tomography. The results had sufficient robustness, showing the prospects of application in the field of non-destructive testing of dams.
This dataset consists mainly of two subsets. The first subset includes measurements and simulation data conducted to validate the simulation tool ENVI-met. The measurements were conducted at the campus of the Bauhaus-University Weimar in Weimar, Germany and consisted of recording exterior air temperature, globe temperature, relative humidity, and wind velocity at 1.5 m at four points on four different days. After the measurements, the geometry of the campus was modelled and meshed; the simulations were conducted using the weather data of the measurements days with the aim of investigating the accuracy of the model.
The second data subset consists of ENVI-met simulation data of the potential of facade greening in improving the outdoor environment and the indoor air temperature during heatwaves in Central European cities. The data consist of the boundary conditions and the simulation output of two simulation models: with and without facade greening. The geometry of the models corresponded to a residential buildings district in Stuttgart, Germany. The simulation output consisted of exterior air temperature, mean radiant temperature, relative humidity, and wind velocity at 12 different probe points in the model in addition to the indoor air temperature of an exemplary building. The dataset presents both vertical profiles of the probed parameters as well as the time series output of the five-day simulation duration. Both data subsets correspond to the investigations presented in the co-submitted article [1].
This dataset presents the numerical analysis of the heat and moisture transport through a facade equipped with a living wall system designated for greywater treatment. While such greening systems provide many environmental benefits, they involve pumping large quantities of water onto the wall assembly, which can increase the risk of moisture in the wall as well as impaired energetic performance due to increased thermal conductivity with increased moisture content in the building materials. This dataset was acquired through numerical simulation using the coupling of two simulation tools, namely Envi-Met and Delphin. This coupling was used to include the complex role the plants play in shaping the near-wall environmental parameters in the hygrothermal simulations. Four different wall assemblies were investigated, each assembly was assessed twice: with and without the living wall. The presented data include the input and output parameters of the simulations, which were presented in the co-submitted article [1].
The thesis addresses journalistic, administrative and judicial historical documentation to analyze the links between aridity and geographical imaginaries in the province of Catamarca (Argentina), from a historical point of view. The research aims to contribute to the understanding of the "non-hegemonic" versions of Modernity, its territoriality and the productions of geographic imaginaries that they involve. To provide a broad purpose, it raises as an object of study the ways in which "modern" practices, actors, links, discourses and expectations about the territory are mobilized when they are located in a space in "other" water conditions. those that are intended to "civilize" it.
The general objective of the research is to analyze time-space controversies around water in the city and valley of Catamarca towards 19th and 20th centuries. The specific objectives derived are a) analyzing how various actors are related to waters behavior - in other words, the local water regime – in Catamarca and the meanings built around it. b) to analyze the controversies about the place of Catamarca and its water regime in the local and national geographic imaginary. c) analyze controversies in which the relationships between actors and materialities involved in modernization projects are put into discussion.
These concerns by the experience of the actors and by the historical-spatial imagination of the territory, combined, led to the construction of an interdisciplinary methodology based on tools from anthropology, sociology, geography and history.
A safe and economic structural design based on the semi-probabilistic concept requires statistically representative safety elements, such as characteristic values, design values, and partial safety factors. Regarding climate loads, the safety levels of current design codes strongly reflect experiences based on former measurements and investigations assuming stationary conditions, i.e. involving constant frequencies and intensities. However, due to climate change, occurrence of corresponding extreme weather events is expected to alter in the future influencing the reliability and safety of structures and their components. Based on established approaches, a systematically refined data-driven methodology for the determination of design parameters considering nonstationarity as well as standardized targets of structural reliability or safety, respectively, is therefore proposed. The presented procedure picks up fundamentals of European standardization and extends them with respect to nonstationarity by applying a shifting time window method. Taking projected snow loads into account, the application of the method is exemplarily demonstrated and various influencing parameters are discussed.
Paper-based data acquisition and manual transfer between incompatible software or data formats during inspections of bridges, as done currently, are time-consuming, error-prone, cumbersome, and lead to information loss. A fully digitized workflow using open data formats would reduce data loss, efforts, and the costs of future inspections. On the one hand, existing studies proposed methods to automatize data acquisition and visualization for inspections. These studies lack an open standard to make the gathered data available for other processes. On the other hand, several studies discuss data structures for exchanging damage information among different stakeholders. However, those studies do not cover the process of automatic data acquisition and transfer. This study focuses on a framework that incorporates automatic damage data acquisition, transfer, and a damage information model for data exchange. This enables inspectors to use damage data for subsequent analyses and simulations. The proposed framework shows the potentials for a comprehensive damage information model and related (semi-)automatic data acquisition and processing.
Object-Oriented Damage Information Modeling Concepts and Implementation for Bridge Inspection
(2022)
Bridges are designed to last for more than 50 years and consume up to 50% of their life-cycle costs during their operation phase. Several inspections and assessment actions are executed during this period. Bridge and damage information must be gathered, digitized, and exchanged between different stakeholders. Currently, the inspection and assessment practices rely on paper-based data collection and exchange, which is time-consuming and error-prone, and leads to loss of information. Storing and exchanging damage and building information in a digital format may lower costs and errors during inspection and assessment and support future needs, for example, immediate simulations regarding performance assessment, automated maintenance planning, and mixed reality inspections. This study focused on the concept for modeling damage information to support bridge reviews and structural analysis. Starting from the definition of multiple use cases and related requirements, the data model for damage information is defined independently from the subsequent implementation. In the next step, the implementation via an established standard is explained. Functional tests aim to identify problems in the concept and implementation. To show the capability of the final model, two example use cases are illustrated: the inspection review of the entire bridge and a finite-element analysis of a single component. Main results are the definition of necessary damage data, an object-oriented damage model, which supports multiple use cases, and the implementation of the model in a standard. Furthermore, the tests have shown that the standard is suitable to deliver damage information; however, several software programs lack proper implementation of the standard.
Das Fahrrad ist ein Medium sozialer Veränderung. Seine vielfältigen utopischen Potenziale ergeben sich nicht zuletzt aus seinen ebenso vielfältigen und häufig übersehenen medialen Qualitäten: Es vermittelt, es verbindet, es übersetzt; es modifiziert Wahrnehmung und Organisation von Raum und Zeit, von Körpern und von Sozialität. Umgekehrt kann auch das medienwissenschaftliche Denken fahrradmedial verändert werden. Das Fahrrad ist nicht nur Medium des sozialen und ökologischen Wandels: Radfahren eröffnet Perspektiven, verändert Räume, lässt neue Relationen entstehen und teilt Handlungsmacht neu auf.
Fahrradutopien denkt vom Fahrrad aus und ergänzt dabei bestehende Ansätze zur Mobilitätsforschung um medienkulturwissenschaftliche Perspektiven. Die Beiträge verbinden Medienwissenschaften und Forschungen zu Fahrradaktivismus mit der Liebe zum Radfahren. Fokussiert werden Fahrradfilme und -vlogs, Verkehr und Infrastrukturen, Virtuelle Realität und Fahrrad, Fahrradkollektive und Fahrradfeminismus.
Wer von Erbe im Zusammenhang mit Identität spricht, verspricht sich und Anderen »Kontinuität« und »Stabilität«. Das Versprechen hält indes nur so lange, wie sich Menschen auf die damit verbundenen Erzählungen einlassen. Da diese zunehmend hinterfragt werden und der Begriff »Identität« im politischen Raum zu einer umkämpften Kategorie avanciert ist, werden auch die lange gehegten, gewohnten »Konstruktionen« instabil. Dies zeigt sich insbesondere in Momenten des Konflikts, der übergriffigen Inanspruchnahme und des Verlusts. Der Titel »Instabile Konstruktionen« verweist zugleich auf die beiden Kernbereiche des Kollegs: einerseits auf Architektur und Denkmalpflege, in denen der Begriff Konstruktion sich auf bauliche Manifestationen bezieht, von denen eine gewisse Haltbarkeit und Dauerhaftigkeit erwartet wird und andererseits auf die Kultur- und Sozialwissenschaften, wo Konstruktion die soziale Herstellung symbolischer Sinnwelten meint. Ins Zentrum rückt so der Anspruch, die materielle Umwelt im Wechselverhältnis zu ihrer sozialen Gemachtheit zu verstehen.
Ausgehend von der Bemerkung des Philosophen Jacques Derrida, dass Erbe immer auch eine Aufgabe sei, widmet sich der dritte Band der Schriftenreihe des Graduiertenkollegs „Identität und Erbe“ den sozialen und kulturellen Praktiken der Bezugnahme auf Vergangenheit(en) und Identität(en). Mit einem (kulturellen) Erbe soll und muss etwas getan werden, um es überhaupt hervorzubringen. Es konstituiert sich erst im Akt des (Nicht-)Erbens, das heißt im Wechselverhältnis mit den mit und an ihm ausgeführten Praktiken. Gleichwohl ermöglicht erst deren Verbindung mit den materiellen Überresten und Überlieferungen des Erbes eine Aneignung oder Ablehnung der Vergangenheit sowie die Fort- und Umschreibung eines bereits bestehenden Erbes. Diese Vorgänge sind nicht willkürlicher Natur: Die Möglichkeiten zur Interpretation und Deutung werden durch die sozialen, politischen, kulturellen, ökonomischen und technischen Bedingungen der Gegenwart sowie durch die Geschichte und Materialität des Erbes beschränkt, erweitert und gelenkt. Erbe und Erbeprozesse müssen deshalb notwendigerweise miteinander in Beziehung gesetzt werden.
Mit Beiträgen von Simone Bogner und Michael Karpf, Stefan Willer, Giorgia Aquilar, Jörg Springer, Bernd Euler-Rolle, Elizabeth Sikiaridi und Frans Vogelaar, Verena von Beckerath, Alexandra Klei, Oluwafunminiyi Raheem, Ronny Grundig, Özge Sezer, Anna Kutkina, Inge Manka, Karolina Hettchen und Monique Jüttner sowie Julian Blunk.
Atlas der Datenkörper. Körperbilder in Kunst, Design und Wissenschaft im Zeitalter digitaler Medien
(2022)
Digitale Technologien und soziale Medien verändern die Selbst- und Körperwahrnehmung und verzerren, verstärken oder produzieren dabei spezifische Körperbilder. Die Beiträger*innen kartographieren diese Phänomene, fragen nach ihrer medialen Existenzweise sowie nach den Möglichkeiten ihrer Kritik. Dabei begegnen sie ihrer Neuartigkeit mit einer transdisziplinären Herangehensweise. Aus sowohl der Perspektive künstlerischer und gestalterischer Forschung als auch der Kunst-, Kultur- und Medienwissenschaft sowie der Psychologie und Neurowissenschaft wird die Landschaft rezenter Körperbilder und Techniken einer digitalen Körperlichkeit untersucht.
In the wake of the news industry’s digitization, novel organizations that differ considerably from traditional media firms in terms of their functional roles and organizational practices of media work are emerging. One new type is the field repair organization, which is characterized by supporting high‐quality media work to compensate for the deficits (such as those which come from cost savings and layoffs) which have become apparent in legacy media today. From a practice‐theoretical research perspective and based on semi‐structured interviews, virtual field observations, and document analysis, we have conducted a single case study on Science Media Center Germany (SMC), a unique non‐profit news start‐up launched in 2016 in Cologne, Germany. Our findings show that, in addition to field repair activities, SMC aims to facilitate progress and innovation in the field, which we refer to as field advancement. This helps to uncover emerging needs and anticipates problems before they intensify or even occur, proactively providing products and tools for future journalism. This article contributes to our understanding of novel media organizations with distinct functions in the news industry, allowing for advancements in theory on media work and the organization of journalism in times of digital upheaval.
Subscription-based news platforms (such as “Apple News+” or “Readly”) that bundle content from different publishers into one comprehensive package and offer it to media users at a fixed monthly rate are a new way of accessing and consuming digital journalism. These services have received little attention in journalism studies, although they differ greatly from traditional media products and distribution channels. This article empirically investigates the perception of journalism platforms based on eight qualitative focus group discussions with 55 German news consumers.
Results show that the central characteristics these platforms should fulfill in order to attract users are strikingly similar to the characteristics of media platforms from the music and video industries, in particular regarding price points, contract features, and modes of usage. Against this background, the potential and perspectives of a subscription-based news platform for journalism’s societal role are discussed.
The current thesis presents research about new methods of citizen participation based on digital technologies. The focus on the research lies on decentralized methods of participation where citizens take the role of co-creators. The research project first conducted a review of the literature on citizen participation, its origins and the different paradigms that have emerged over the years. The literature review also looked at the influence of technologies on participation processes and the theoretical frameworks that have emerged to understand the introduction of technologies in the context of urban development. The literature review generated the conceptual basis for the further development of the thesis.
The research begins with a survey of technology enabled participation applications that examined the roles and structures emerging due to the introduction of technology. The results showed that cities use technology mostly to control and monitor urban infrastructure and are rather reluctant to give citizens the role of co-creators. Based on these findings, three case studies were developed. Digital tools for citizen participation were conceived and introduced for each case study. The adoption and reaction of the citizens were observed using three data collection methods.
The results of the case studies showed consistently that previous participation and engagement with informal citizen participation are a determinining factor in the potential adoption of digital tools for decentralized engagement. Based on these results, the case studies proposed methods and frameworks that can be used for the conception and introduction of technologies for decentralized citizen participation.
This report details the development of Horoskopos, a virtual planetarium for astrology. This project was an attempt to develop a learning tool for studying astrological concepts as connected to observational astronomy. The premise that astrology and observational astronomy were once inseparable from each other in ancient times guided the conceptualization of this tool as an interactive planetarium. The main references were existing software and applications for visualization in astrology and astronomy. Professional astrology teachers were consulted in order to understand better the state of astrological teaching and learning, as well as existing tools and practice. Horoskopos was built using the Unity3D development interface, which is based on the C# programming language. It also relied on the Swiss Ephemeris coding interface from Astrodienst. The development process was experimental and many of the needed skills were developed as needed. Usability tests were performed as new features were added to the interface. The final version of Horoskopos is fully usable, with many interactive visualization features and a defined visual identity. It was validated together with professional astrologers for its effectiveness in concept and visualization.
In machine learning, if the training data is independently and identically distributed as the test data then a trained model can make an accurate predictions for new samples of data. Conventional machine learning has a strong dependence on massive amounts of training data which are domain specific to understand their latent patterns. In contrast, Domain adaptation and Transfer learning methods are sub-fields within machine learning that are concerned with solving the inescapable problem of insufficient training data by relaxing the domain dependence hypothesis. In this contribution, this issue has been addressed and by making a novel combination of both the methods we develop a computationally efficient and practical algorithm to solve boundary value problems based on nonlinear partial differential equations. We adopt a meshfree analysis framework to integrate the prevailing geometric modelling techniques based on NURBS and present an enhanced deep collocation approach that also plays an important role in the accuracy of solutions. We start with a brief introduction on how these methods expand upon this framework. We observe an excellent agreement between these methods and have shown that how fine-tuning a pre-trained network to a specialized domain may lead to an outstanding performance compare to the existing ones. As proof of concept, we illustrate the performance of our proposed model on several benchmark problems.
Design-related reassessment of structures integrating Bayesian updating of model safety factors
(2022)
In the semi-probabilistic approach of structural design, the partial safety factors are defined by considering some degree of uncertainties to actions and resistance, associated with the parameters’ stochastic nature. However, uncertainties for individual structures can be better examined by incorporating measurement data provided by sensors from an installed health monitoring scheme. In this context, the current study proposes an approach to revise the partial safety factor for existing structures on the action side, γE by integrating Bayesian model updating. A simple numerical example of a beam-like structure with artificially generated measurement data is used such that the influence of different sensor setups and data uncertainties on revising the safety factors can be investigated. It is revealed that the health monitoring system can reassess the current capacity reserve of the structure by updating the design safety factors, resulting in a better life cycle assessment of structures. The outcome is furthermore verified by analysing a real life small railway steel bridge ensuring the applicability of the proposed method to practical applications.
Bolted connections are widely employed in structures like transmission poles, wind turbines, and television (TV) towers. The behaviour of bolted connections is often complex and plays a significant role in the overall dynamic characteristics of the structure. The goal of this work is to conduct a fatigue lifecycle assessment of such a bolted connection block of a 193 m tall TV tower, for which 205 days of real measurement data have been obtained from the installed monitoring devices. Based on the recorded data, the best-fit stochastic wind distribution for 50 years, the decisive wind action, and the locations to carry out the fatigue analysis have been decided. A 3D beam model of the entire tower is developed to extract the nodal forces corresponding to the connection block location under various mean wind speeds, which is later coupled with a detailed complex finite element model of the connection block, with over three million degrees of freedom, for acquiring stress histories on some pre-selected bolts. The random stress histories are analysed using the rainflow counting algorithm (RCA) and the damage is estimated using Palmgren-Miner's damage accumulation law. A modification is proposed to integrate the loading sequence effect into the RCA, which otherwise is ignored, and the differences between the two RCAs are investigated in terms of the accumulated damage.
Revisiting vernacular technique: Engineering a low environmental impact earth stabilisation method
(2022)
The major drawbacks of earth as a construction material — such as its low water stability and moderate strength — have led mankind to stabilize earth. Different civilizations developed vernacular techniques mainly focussing on lime, pozzolan or gypsum stabilization. Recently, cement has become the most commonly used additive in earth stabilization as it improves the strength and durability of plain earth. Also, it is a familiar and globally available construction material. However, using cement as an additive reduces the environmental advantages of earth and run counter to global targets regarding the reduction of CO2 emissions. Alternatives to cement stabilization are currently neither efficient enough to reduce its environmental impact nor allow the possibility of obtaining better results than those of cement. As such, this thesis deals with the rediscovery of a reverse engineering approach for a low environmental impact earth stabilization technique, aiming to replace cement in earth stabilization.
The first step in the method consists in a comprehensive review of earth stabilization with regards to earthen building standards and soil classification, which allows us to identify the research gap. The review showed that there is great potential in using other additives which result in similar improvements as those achieved by cement. However, the studies that have been conducted so far either use expansive soils, which are not suitable for earth constructions or artificial pozzolans that indirectly contribute to CO2 emissions. This is the main research gap.
The key concept for the development in the second step of the method is to combine vernacular additives to both improve the strength and durability of plain earth and to reduce the CO2 emissions. Various earth-mixtures were prepared and both development and performance tests were done to investigate the performance of this technique. The laboratory analyses on mix-design have proven a high durability and the results show a remarkable increase in strength performance. Furthermore, a significant reduction in CO2 emissions in comparison to cement stabilization could be shown.
The third step of the method discusses the results drawn from the experimental programme. In addition, the potential of the new earth mixture with regards to its usability in the field of building construction and architectural design is further elaborated on.
The method used in this study is the first of its kind that allows investors to avoid the very time-consuming processes such as finding a suitable source for soil excavation and soil classification. The developed mixture has significant workability and suitability for production of stabilized earthen panels — the very first of its kind. Such a panel is practically feasible, reasonable, and could be integrated into earthen building standards in general and in particular to DIN 18948, which is related to earthen boards and published in 2018.
This article aims to develop a social theory of violence that emphasizes the role of the third party as well as the communication between the involved subjects. For this Teresa Koloma Beck’s essay ‘The Eye of the Beholder: Violence as a Social Process’ is taken as a starting point, which adopts a social-constructivist perspective. On the one hand, the basic concepts and the benefits of this approach are presented. On the other hand, social-theoretical problems of this approach are revealed. These deficits are counteracted by expanding Koloma Beck’s approach with a communicative-constructivist framework. Thus, the role of communicative action and the ‘objectification of violence’ is emphasized. These aspects impact the perception, judgement and (de-)legitimation of violence phenomena and the emergence of a ‘knowledge of violence’. Communicative actions and objectifications form a key to understanding violent interactions and the link between the micro and macro levels. Finally, the methodological consequences for the research of violence and Communicative Constructivism are discussed. Furthermore, possible research fields are outlined, which open up by looking at communicative action and the objectifications within the ‘triads of violence’.
The modern industries of the 19th and 20th centuries had multiple effects on the spatial transformation of cities and regions. The past decade has witnessed increasing scholarly and governmental attempts toward conserving modern industrial heritage in the so-called Global North, with the goal, among others, of leveraging this heritage as a driver for urban economic development. In Egypt, the process continues to lag behind; on the one hand, this is due to the perplexing official recognition of the (in)tangible witnesses of modern industries. On the other hand, the official recognition and previous publications focus predominantly on weighing the significance of industrial structures based on their monumental architectural aesthetics. Their historical urban role and spatial attributes as part of urban heritage have yet to be seriously acknowledged. Accordingly, this hinders the integration of the extant industrial sites into the broader debate surrounding urban conservation, leaving them vulnerable to decay and destruction.
This dissertation steers away from the singular investigation of selective modern industrial sites to recall their historical spatial development on a city scale. This is effected by investigating a case study - the Egyptian port city of Alexandria. With the limited secondary data available on modern industries in Alexandria, this dissertation relied predominantly on primary sources. The author collected and leveraged both quantitative and qualitative data to recontextualize modern industries in terms of their spatial dynamics, order, and rationale within cities’ transformation.
By recalling historical spatial development in Alexandria, the contribution of this dissertation lies in highlighting what the author refers to as the Omitted Heritage. This is defined by the modern industries in Egypt that are intentionally, unintentionally, and forgetfully excluded in terms of physical documentation, evaluation, appreciation, and integration within urban development plans. The method used excavated the richness of the established modern industries in Alexandria in terms of their quantity and diversity, which would have otherwise remained largely forgotten. The contextualization of modern industries unveiled spatial periodization, spatial dynamics, and conceptual development. The study draws on important analytical aspects that transcend the sites’ boundaries, elevating their significance to the municipal, regional, national, and even global levels. Its recommendations for further research are also divided into those levels.
Strategien der Sichtbarkeit und Sichtbarmachung von ‚Wearable Enhancement‘ im Bereich Smart Health
(2022)
Die vorliegende Forschungsarbeit befasst sich mit der Entwicklung und Gestaltung von körpernahen, tragbaren Artefakten für den digitalisierten Gesundheitsbereich. Unter dem entwickelten Begriff des Wearable Enhancements werden die verschiedenen Termini aus smarten Textilien, Fashion Technologies, Wearable Technologies sowie elektronischen Textilien zusammengefasst und zwei zentrale Forschungsfragen untersucht. Wie kann Wearable Enhancement im Bereich Smart Health ethisch, sozial und ökologisch entwickelt und gestaltet werden? Inwiefern können textile Schnittstellen die Wahrnehmung und die Wahrnehmbarkeit des Körpers verändern? Mit der ersten Forschungsfrage sollen vorrangig Ansätze und Strategien der Sichtbarkeit für die Entwicklung und Gestaltung diskutiert werden, welche Aussagen für die Designpraxis, den Gestaltungs- und Designforschungsprozess sowie die Designlösungen selbst generieren sollen. Die zweite Forschungsfrage zielt darauf, Formen der Sichtbarmachung von sowie für Wearable Enhancement zu untersuchen.
Anhand von drei konkreten Fallstudien werden wesentliche Aspekte der Rezeption, Perzeption, Konstruktion, Konfiguration und Konzeption von soziotechnischen Artefakten zur Funktionssteigerung des menschlichen Körpers untersucht und verschiedene Formen der Sichtbarkeit und Sichtbarmachung entwickelt. In der Arbeit wird ein dual-angelegter transdisziplinärer Designforschungsansatz entwickelt und praktiziert, welcher sowohl die menschlichen Bedürfnisse der Nutzer*innen als auch die Weiterentwicklung von Technologien berücksichtigt. Auf dieser Grundlage wird versucht Anregungen für ein zukunftsfähiges und zugleich verantwortungsorientiertes Design zu geben.
The technique of Acoustic travel-time TOMography (ATOM) allows for measuring the distribution of air temperatures throughout the entire room based on the determined sound-travel-times of early reflections, currently up to second order reflections. The number of detected early reflections in the room impulse response (RIR) which stands for the desired sound paths inside the room, has a significant impact on the resolution of reconstructed temperatures. This study investigates the possibility of utilizing an array of directional sound sources for ATOM measurements instead of a single omnidirectional loudspeaker used in the previous studies [1–3]. The developed measurement setup consists of two directional sound sources placed near the edge of the floor in the climate chamber of the Bauhaus-University Weimar and one omnidirectional receiver at center of the room near the ceiling. In order to compensate for the reduced number of sound paths when using directional sound sources, it is proposed to take high-energy early reflections up to third order into account. For this purpose, the simulated travel times up to third-order image sources were implemented in the image source model (ISM) algorithm, by which these early reflections can be detected effectively for air temperature reconstructions. To minimize the uncertainties of travel-times estimation due to the positioning of the sound transducers inside the room, measurements were conducted to determine the exact emitting point of the utilized sound source i.e. its acoustic center (AC). For these measurements, three types of excitation signals (MLS, linear and logarithmic chirp signals) with various frequency ranges were used considering that the acoustic center of a sound source is a frequency dependent parameter [4]. Furthermore, measurements were conducted to determine an optimum excitation signal based on the given condition of the ATOM measurement set-up which defines an optimum method for the RIR estimation correspondingly. Finally, the uncertainty of the measuring system utilizing an array of directional sound sources was analyzed.
Open Innovation in kleinen und mittleren Unternehmen (KMU) hat sich stark ausdifferenziert. Dabei zeigt die Empirie, dass KMU unterschiedliche Wege in der offenen Entwicklung von Innovationen begehen. Um die bestehende Literatur zu erweitern, wurden mit dieser Dissertation die Ziele verfolgt 1) offene Innovationsaktivitäten in KMU aus einer Prozessperspektive aufzudecken und genau zu beschreiben und 2) zu erklären, warum sich die Öffnung von Innovationsprozessen in KMU unterscheidet. Dafür wurde auf eine multiple Fallstudienanalyse zurückgegriffen. Untersuchungsobjekte waren kleine etablierte High-Tech Unternehmen aus den neuen Bundesländern. Die Ergebnisse zeigen sechs Prozessmodelle der offenen Innovationsentwicklung, beschrieben als Open Innovation Muster. Deskriptionen dieser Muster unter Berücksichtigung von formenden Innovationsaktivitäten, ausgetauschtem Wissen, beteiligten externen Akteuren und Gründen für und gegen Open Innovation vermitteln ein über den bisherigen Forschungsstand hinausgehendes Verständnis von Open Innovation in KMU. Zudem zeigen die Ergebnisse, dass die Entrepreneurial Orientation erklärt, warum KMU bei der Ausgestaltung von offenen Innovationsprozessen unterschiedlich vorgehen. In der Dissertation wird detailliert dargelegt, welche Open Innovation Muster sich anhand der Entrepreneurial Orientation von KMU (nicht-entrepreneurial bis entrepreneurial) zeigen. Die Ergebnisse liefern sowohl wissenschaftliche Implikationen, als auch Handlungsempfehlungen für die Unternehmenspraxis.
Bei Analysen des Gebäudebestands im Quartierskontext werden zu Dokumentationszwecken viele Bilddaten erzeugt. Diese Daten sind im Nachhinein häufig keinen eindeutig genauen Standorten und Blickwinkeln auf das Bauwerk zuzuordnen. Insbesondere gilt dies für Ortsunkundige oder für Detailaufnahmen. Eine zusätzliche Herausforderung stellt die Aufnahme von Wärmebrücken- oder andersartigen Gebäudedetails durch Thermogramme dar. In der Praxis kommen hier oftmals analoge, fehleranfällige Lösungen zum Einsatz.
Durch die Nutzung von Georeferenzierung kann diese Lücke geschlossen und eine eindeutige Kommunikation und Auswertung gewährleistet werden. Im Gegensatz zu den üblichen Kameras sind Smartphones nach Stand der Technik ausreichend ausgestattet, um neben Daten zu Standort auch die Orientierungswinkel einer Bildaufnahme zu dokumentieren. Die georefenzierten Bilder können auf Grundlage der in den sogenannten Exif-Daten mitgeschriebenen Informationen händisch in ein bestehendes Quartiersmodell integriert werden.
Anhand eines universitären Musterquartiers wird die nutzerfreundliche Realisierung beispielhaft erprobt und auf ihre Potentiale zur Automatisierung in Python untersucht. Hierfür wurde ein bestehendes Quartiersmodell als geometrische Grundlage genutzt und um RGB-Bilder sowie Thermogramme erweitert. Das beschriebene Vorgehen wird im Rahmen der Anwendung auf seinen möglichen Einsatz im Rahmen einer energetischen Quartierserfassung sowie einer Bauschadensdokumentation untersucht.
Mit dem vorliegenden Beitrag wird dem Nutzenden ein Werkzeug bereitgestellt, das die hochwertige Dokumentation einer Bestandserfassung, auch im Quartierskontext, ermöglicht.
In ten chapters, this thesis presents information retrieval technology which is tailored to the research activities that arise in the context of corpus-based digital humanities projects.
The presentation is structured by a conceptual research process that is introduced in Chapter 1. The process distinguishes a set of five research activities: research question generation, corpus acquisition, research question modeling, corpus annotation, and result dissemination. Each of these research activities elicits different information retrieval tasks with special challenges, for which algorithmic approaches are presented after an introduction of the core information retrieval concepts in Chapter 2.
A vital concept in many of the presented approaches is the keyquery paradigm introduced in Chapter 3, which represents an operation that returns relevant search queries in response to a given set of input documents. Keyqueries are proposed in Chapter 4 for the recommendation of related work, and in Chapter 5 for improving access to aspects hidden in the long tail of search result lists.
With pseudo-descriptions, a document expansion approach is presented in Chapter 6. The approach improves the retrieval performance for corpora where only bibliographic meta-data is originally available. In Chapter 7, the keyquery paradigm is employed to generate dynamic taxonomies for corpora in an unsupervised fashion.
Chapter 8 turns to the exploration of annotated corpora, and presents scoped facets as a conceptual extension to faceted search systems, which is particularly useful in exploratory search settings. For the purpose of highlighting the major topical differences in a sequence of sub-corpora, an algorithm called topical sequence profiling is presented in Chapter 9.
The thesis concludes with two pilot studies regarding the visualization of (re)search results for the means of successful result dissemination: a metaphoric interpretation of the information nutrition label, as well as the philosophical bodies, which are 3D-printed search results.
In this work, we present a deep collocation method (DCM) for three-dimensional potential problems in non-homogeneous media. This approach utilizes a physics-informed neural network with material transfer learning reducing the solution of the non-homogeneous partial differential equations to an optimization problem. We tested different configurations of the physics-informed neural network including smooth activation functions, sampling methods for collocation points generation and combined optimizers. A material transfer learning technique is utilized for non-homogeneous media with different material gradations and parameters, which enhance the generality and robustness of the proposed method. In order to identify the most influential parameters of the network configuration, we carried out a global sensitivity analysis. Finally, we provide a convergence proof of our DCM. The approach is validated through several benchmark problems, also testing different material variations.
Operator Calculus Approach to Comparison of Elasticity Models for Modelling of Masonry Structures
(2022)
The solution of any engineering problem starts with a modelling process aimed at formulating a mathematical model, which must describe the problem under consideration with sufficient precision. Because of heterogeneity of modern engineering applications, mathematical modelling scatters nowadays from incredibly precise micro- and even nano-modelling of materials to macro-modelling, which is more appropriate for practical engineering computations. In the field of masonry structures, a macro-model of the material can be constructed based on various elasticity theories, such as classical elasticity, micropolar elasticity and Cosserat elasticity. Evidently, a different macro-behaviour is expected depending on the specific theory used in the background. Although there have been several theoretical studies of different elasticity theories in recent years, there is still a lack of understanding of how modelling assumptions of different elasticity theories influence the modelling results of masonry structures. Therefore, a rigorous approach to comparison of different three-dimensional elasticity models based on quaternionic operator calculus is proposed in this paper. In this way, three elasticity models are described and spatial boundary value problems for these models are discussed. In particular, explicit representation formulae for their solutions are constructed. After that, by using these representation formulae, explicit estimates for the solutions obtained by different elasticity theories are obtained. Finally, several numerical examples are presented, which indicate a practical difference in the solutions.
The detailed structural analysis of thin-walled circular pipe members often requires the use of a shell or solid-based finite element method. Although these methods provide a very good approximation of the deformations, they require a higher degree of discretization which causes high computational costs. On the other hand, the analysis of thin-walled circular pipe members based on classical beam theories is easy to implement and needs much less computation time, however, they are limited in their ability to approximate the deformations as they cannot consider the deformation of the cross-section.
This dissertation focuses on the study of the Generalized Beam Theory (GBT) which is both accurate and efficient in analyzing thin-walled members. This theory is based on the separation of variables in which the displacement field is expressed as a combination of predetermined deformation modes related to the cross-section, and unknown amplitude functions defined on the beam's longitudinal axis. Although the GBT was initially developed for long straight members, through the consideration of complementary deformation modes, which amend the null transverse and shear membrane strain assumptions of the classical GBT, problems involving short members, pipe bends, and geometrical nonlinearity can also be analyzed using GBT. In this dissertation, the GBT formulation for the analysis of these problems is developed and the application and capabilities of the method are illustrated using several numerical examples. Furthermore, the displacement and stress field results of these examples are verified using an equivalent refined shell-based finite element model.
The developed static and dynamic GBT formulations for curved thin-walled circular pipes are based on the linear kinematic description of the curved shell theory. In these formulations, the complex problem in pipe bends due to the strong coupling effect of the longitudinal bending, warping and the cross-sectional ovalization is handled precisely through the derivation of the coupling tensors between the considered GBT deformation modes. Similarly, the geometrically nonlinear GBT analysis is formulated for thin-walled circular pipes based on the nonlinear membrane kinematic equations. Here, the initial linear and quadratic stress and displacement tangent stiffness matrices are built using the third and fourth-order GBT deformation mode coupling tensors.
Longitudinally, the formulation of the coupled GBT element stiffness and mass matrices are presented using a beam-based finite element formulation. Furthermore, the formulated GBT elements are tested for shear and membrane locking problems and the limitations of the formulations regarding the membrane locking problem are discussed.
This paper outlines an important step in characterizing a novel field of robotic construction research where a cable-driven parallel robot is used to extrude cementitious material in three-dimensional space, and thus offering a comprehensive new approach to computational design and construction, and to robotic fabrication at larger scales. Developed by the Faculty of Art and Design at Bauhaus-University Weimar (Germany), the faculty of Architecture at the University of Applied Sciences Dortmund (Germany) and the Chair of Mechatronics at the University of Duisburg-Essen (Germany), this approach offers unique advantages over existing additive manufacturing methods: the system is easily transportable and scalable, it does not require additional formwork or scaffolding, and it offers digital integration and informational oversight across the entire design and building process. This paper considers 1) key research components of cable robotic 3D-printing (such as computational design, material exploration, and robotic control), and 2) the integration of these parameters into a unified design and building process. The demonstration of the approach at full-scale is of particular concern.
Encapsulation-based self-healing concrete (SHC) is the most promising technique for providing a self-healing mechanism to concrete. This is due to its capacity to heal fractures effectively without human interventions, extending the operational life and lowering maintenance costs. The healing mechanism is created by embedding capsules containing the healing agent inside the concrete. The healing agent will be released once the capsules are fractured and the healing occurs in the vicinity of the damaged part. The healing efficiency of the SHC is still not clear and depends on several factors; in the case of microcapsules SHC the fracture of microcapsules is the most important aspect to release the healing agents and hence heal the cracks. This study contributes to verifying the healing efficiency of SHC and the fracture mechanism of the microcapsules. Extended finite element method (XFEM) is a flexible, and powerful discrete crack method that allows crack propagation without the requirement for re-meshing and has been shown high accuracy for modeling fracture in concrete. In this thesis, a computational fracture modeling approach of Encapsulation-based SHC is proposed based on the XFEM and cohesive surface technique (CS) to study the healing efficiency and the potential of fracture and debonding of the microcapsules or the solidified healing agents from the concrete matrix as well. The concrete matrix and a microcapsule shell both are modeled by the XFEM and combined together by CS. The effects of the healed-crack length, the interfacial fracture properties, and microcapsule size on the load carrying capability and fracture pattern of the SHC have been studied. The obtained results are compared to those obtained from the zero thickness cohesive element approach to demonstrate the significant accuracy and the validity of the proposed simulation. The present fracture simulation is developed to study the influence of the capsular clustering on the fracture mechanism by varying the contact surface area of the CS between the microcapsule shell and the concrete matrix. The proposed fracture simulation is expanded to 3D simulations to validate the 2D computational simulations and to estimate the accuracy difference ratio between 2D and 3D simulations. In addition, a proposed design method is developed to design the size of the microcapsules consideration of a sufficient volume of healing agent to heal the expected crack width. This method is based on the configuration of the unit cell (UC), Representative Volume Element (RVE), Periodic Boundary Conditions (PBC), and associated them to the volume fraction (Vf) and the crack width as variables. The proposed microcapsule design is verified through computational fracture simulations.
The fracture of microcapsules is an important issue to release the healing agent for healing the cracks in encapsulation-based self-healing concrete. The capsular clustering generated from the concrete mixing process is considered one of the critical factors in the fracture mechanism. Since there is a lack of studies in the literature regarding this issue, the design of self-healing concrete cannot be made without an appropriate modelling strategy. In this paper, the effects of microcapsule size and clustering on the fractured microcapsules are studied computationally. A simple 2D computational modelling approach is developed based on the eXtended Finite Element Method (XFEM) and cohesive surface technique. The proposed model shows that the microcapsule size and clustering have significant roles in governing the load-carrying capacity and the crack propagation pattern and determines whether the microcapsule will be fractured or debonded from the concrete matrix. The higher the microcapsule circumferential contact length, the higher the load-carrying capacity. When it is lower than 25% of the microcapsule circumference, it will result in a greater possibility for the debonding of the microcapsule from the concrete. The greater the core/shell ratio (smaller shell thickness), the greater the likelihood of microcapsules being fractured.
Determining the earthquake hazard of any settlement is one of the primary studies for reducing earthquake damage. Therefore, earthquake hazard maps used for this purpose must be renewed over time. Turkey Earthquake Hazard Map has been used instead of Turkey Earthquake Zones Map since 2019. A probabilistic seismic hazard was performed by using these last two maps and different attenuation relationships for Bitlis Province (Eastern Turkey) were located in the Lake Van Basin, which has a high seismic risk. The earthquake parameters were determined by considering all districts and neighborhoods in the province. Probabilistic seismic hazard analyses were carried out for these settlements using seismic sources and four different attenuation relationships. The obtained values are compared with the design spectrum stated in the last two earthquake maps. Significant differences exist between the design spectrum obtained according to the different exceedance probabilities. In this study, adaptive pushover analyses of sample-reinforced concrete buildings were performed using the design ground motion level. Structural analyses were carried out using three different design spectra, as given in the last two seismic design codes and the mean spectrum obtained from attenuation relationships. Different design spectra significantly change the target displacements predicted for the performance levels of the buildings.
Die Auswirkungen einer Fassadenbegrünung auf den Wärmeinseleffekt in Stuttgart wurde für eine Hitzeperiode numerisch simuliert und bewertet. Die Ergebnisse zeigten positive Auswirkungen innerhalb des Simulationsgebiets sowie eine geringe Fernwirkung auf benachbarte Stadtquartiere. Diese Änderungen können zur Verbesserung des thermischen Komforts im Außenraum beitragen. Eine reduzierte Temperatur der Außenoberfläche führt darüber hinaus auch zu einer geringeren Oberflächentemperatur der Wandinnenseite, welche die Innenraumtemperatur beeinflusst. Folglich kann die thermische Behaglichkeit auch im Innenraum erhöht werden.
Bauablaufplänen kommt bei der Realisierung von Bauprojekten eine zentrale Rolle zu. Sie dienen der Koordination von Schnittstellen und bilden für die am Projekt Beteiligten die Grundlage für ihre individuelle Planung. Eine verlässliche Terminplanung ist daher von großer Bedeutung, tatsächlich sind aber gerade Bauablaufpläne für ihre Unzuverlässigkeit bekannt.
Aufgrund der langen Vorlaufzeiten bei der Planung von Bauprojekten sind zum Zeitpunkt der Planung viele Informationen nur als Schätzwerte bekannt. Auf der Grundlage dieser geschätzten und damit mit Unsicherheiten behafteten Daten werden im Bauwesen deterministische Terminpläne erstellt. Kommt es während der Realisierung zu Diskrepanzen zwischen Schätzungen und Realität, erfordert dies die Anpassung der Pläne. Aufgrund zahlreicher Abhängigkeiten zwischen den geplanten Aktivitäten können einzelne Planänderungen vielfältige weitere Änderungen und Anpassungen nach sich ziehen und damit einen reibungslosen Projektablauf gefährden.
In dieser Arbeit wird ein Vorgehen entwickelt, welches Bauablaufpläne erzeugt, die im Rahmen der durch das Projekt definierten Abhängigkeiten und Randbedingungen in der Lage sind, Änderungen möglichst gut zu absorbieren. Solche Pläne, die bei auftretenden Änderungen vergleichsweise geringe Anpassungen des Terminplans erfordern, werden hier als robust bezeichnet.
Ausgehend von Verfahren der Projektplanung und Methoden zur Berücksichtigung von Unsicherheiten werden deterministische Terminpläne bezüglich ihres Verhaltens bei eintretenden Änderungen betrachtet. Hierfür werden zunächst mögliche Unsicherheiten als Ursachen für Änderungen benannt und mathematisch abgebildet. Damit kann das Verhalten von Abläufen für mögliche Änderungen betrachtet werden, indem die durch Änderungen erzwungenen angepassten Terminpläne simuliert werden. Für diese Monte-Carlo-Simulationen der angepassten Terminpläne wird sichergestellt, dass die angepassten Terminpläne logische Weiterentwicklungen des deterministischen Terminplans darstellen. Auf der Grundlage dieser Untersuchungen wird ein stochastisches Maß zur Quantifizierung der Robustheit erarbeitet, welches die Fähigkeit eines Planes, Änderungen zu absorbieren, beschreibt. Damit ist es möglich, Terminpläne bezüglich ihrer Robustheit zu vergleichen.
Das entwickelte Verfahren zur Quantifizierung der Robustheit wird in einem Optimierungsverfahren auf Basis Genetischer Algorithmen angewendet, um gezielt robuste Terminpläne zu erzeugen. An Beispielen werden die Methoden demonstriert und ihre Wirksamkeit nachgewiesen.
Inhaltlich beschäftigt sich die Arbeit, die im Rahmen des Promotionsstudiengangs Kunst und Gestaltung an der Bauhaus-Universität entstand, mit der Erforschung sozio-interaktiver Potentiale der Videotelefonie im Kontext von Nähe und Verbundenheit mit Fokus auf Eigenbild, Embodiment sowie den Rederechtswechsel.
Die Videotelefonie als Kommunikationsform hat sich – und darauf deuten die Erfahrungen der Co- vid-19-Pandemie hin – im lebensweltlichen Alltag der Menschen etabliert und wird dort in naher Zukunft nicht mehr wegzudenken sein. Auf Basis ihrer Möglichkeiten und Errungenschaften ist es inzwischen Realität und Lebenswirklichkeit, dass die Kommunikation sowohl im privaten als auch im geschäftlichen Kontext mittels verschiedenster Kanäle stattfindet. Der Videotelefonie kommt hierbei als solche nicht nur eine tragende Funktion, sondern auch eine herausragende Rolle bei der vermeintlichen Reproduktion der Face-to-Face-Kommunikation im digitalen Raum zu und wird wie selbstverständlich zum zwischenmenschlichen Austausch genutzt. Just an diesem Punkt knüpft die Forschungsarbeit an. Zentral stand dabei das Vorhaben einer dezidierte Untersuchung des Forschungsgegenstandes Videotelefonie, sowohl aus Kultur- als auch Technikhistorischer, aber auch Medien-, Wahrnehmungs- wie Kommunikations- theoretischer Perspektive, indem analytische und phänosemiotische Perspektiven miteinander in Beziehung gesetzt werden (z.B. Wahrnehmungsbedingungen, Interaktionsmerkmale, realisierte Kommunikationsprozesse etc.). Damit verbundenes, wünschenswertes Ziel war es, eine möglichst zeitgemäße wie relevante Forschungsfrage zu adressieren, die neben den kulturellen Technisierungs- und Mediatisierungstendenzen in institutionellen und privaten Milieus ebenfalls eine conditio sine qua non der pandemischen (Massen-)Kommunikation entwirft.
Die Arbeit ist damit vor allem im Bereich des Produkt- und Interactiondesigns zu verorten. Darüber hinaus hatte sie das Ziel der Darlegung und Begründung der Videotelefonie als eigenständige Kommunikationsform, welche durch eigene, kommunikative Besonderheiten, die sich in ihrer jeweiligen Ingebrauchnahme sowie durch spezielle Wahrnehmungsbedingungen äußern, und die die Videotelefonie als »Rederechtswechselmedium« avant la lettre konsolidieren, gekennzeichnet ist. Dabei sollte der Beweis erbracht werden, dass die Videotelefonie nicht als Schwundstufe einer Kommunikation Face-to-Face, sondern als ein eigenständiges Mediatisierungs- und Kommunikationsereignis zu verstehen sei. Und eben nicht als eine beliebige – sich linear vom Telefon ausgehende – entwickelte Form der audio-visuellen Fernkommunikation darstellt, sondern die gestalterische (Bewegtbild-)Technizität ein eigenständiges Funktionsmaß offeriert, welches wiederum ein innovatives Kommunikationsmilieu im Kontext einer Rederechtswechsel-Medialität stabilisiert.
Hitze in der Stadt Jena
(2022)
Die vorliegende Arbeit befasst sich mit den spezifischen Faktoren und Wechselwirkungen des städtischen Klimas und Strategien zur Prävention und Kompensation lokaler Klimaveränderungen. Problematische Merkmale des Stadtklimas werden sich infolge des Klimawandels stärker ausprägen. Insbesondere die Hitzebelastung wird zunehmen und die Lebensbedingungen in der Stadt negativ beeinflussen. Infolge höherer Temperaturen in Städten und einer höheren Temperaturdifferenz zum Umland verändern sich Windströme und die Wasserbilanz. Es sind Strategien notwendig, um den Schadstoffausstoß, die Flächeninanspruchnahme, die Abfallproduktion und den Wasser-, Energie- und Ressourcenverbrauch zu verringern, um sowohl langfristig den Klimawandel als auch dessen bereits unvermeidbaren Auswirkungen auf Städte zu begrenzen.
Beispielhaft untersucht die Arbeit das Stadtklima, dessen zukünftige Veränderungen infolge des Klimawandels, bauliche Maßnahmen und Anpassungsstrategien der Stadt Jena. Jena ist die zweitgrößte Stadt im Bundesland Thüringen und gehört heute zu den wärmsten und trockensten Großstädten Deutschlands.
Die Ergebnisse der Arbeit werden anschließend anhand eines städtebaulichen Konzepts und Entwurfs angewendet. Das Bachstraßenareal liegt in der Innenstadt, dem am stärksten von Hitze betroffenen Stadtteil. Als ehemaliger Hauptstandort des Jenaer Universitätsklinikums, soll es zu einem nachhaltigen Wissenschaftscampus der Lebenswissenschaften umgebaut werden, wobei ein Großteil der denkmalgeschützten, ehemaligen Klinikgebäude erhalten bleibt. Der Fokus liegt dabei auf der Umsetzung der zuvor formulierten, nachhaltigen Strategien zur Verbesserung des lokalen Stadtklimas und einer Abschwächung der Auswirkungen des Klimawandels auf den besonders stark betroffenen Innenstadtbereich Jenas.
The computational costs of newly developed numerical simulation play a critical role in their acceptance within both academic use and industrial employment. Normally, the refinement of a method in the area of interest reduces the computational cost. This is unfortunately not true for most nonlocal simulation, since refinement typically increases the size of the material point neighborhood. Reducing the discretization size while keep- ing the neighborhood size will often require extra consideration. Peridy- namic (PD) is a newly developed numerical method with nonlocal nature. Its straightforward integral form equation of motion allows simulating dy- namic problems without any extra consideration required. The formation of crack and its propagation is known as natural to peridynamic. This means that discontinuity is a result of the simulation and does not demand any post-processing. As with other nonlocal methods, PD is considered an expensive method. The refinement of the nodal spacing while keeping the neighborhood size (i.e., horizon radius) constant, emerges to several nonphysical phenomena.
This research aims to reduce the peridynamic computational and imple- mentation costs. A novel refinement approach is introduced. The pro- posed approach takes advantage of the PD flexibility in choosing the shape of the horizon by introducing multiple domains (with no intersections) to the nodes of the refinement zone. It will be shown that no ghost forces will be created when changing the horizon sizes in both subdomains. The approach is applied to both bond-based and state-based peridynamic and verified for a simple wave propagation refinement problem illustrating the efficiency of the method. Further development of the method for higher dimensions proves to have a direct relationship with the mesh sensitivity of the PD. A method for solving the mesh sensitivity of the PD is intro- duced. The application of the method will be examined by solving a crack propagation problem similar to those reported in the literature.
New software architecture is proposed considering both academic and in- dustrial use. The available simulation tools for employing PD will be collected, and their advantages and drawbacks will be addressed. The challenges of implementing any node base nonlocal methods while max- imizing the software flexibility to further development and modification
will be discussed and addressed. A software named Relation-Based Sim- ulator (RBS) is developed for examining the proposed architecture. The exceptional capabilities of RBS will be explored by simulating three dis- tinguished models. RBS is available publicly and open to further develop- ment. The industrial acceptance of the RBS will be tested by targeting its performance on one Mac and two Linux distributions.
The computational costs of newly developed numerical simulation play a critical role in their acceptance within both academic use and industrial employment. Normally, the refinement of a method in the area of interest reduces the computational cost. This is unfortunately not true for most nonlocal simulation, since refinement typically increases the size of the material point neighborhood. Reducing the discretization size while keep- ing the neighborhood size will often require extra consideration. Peridynamic (PD) is a newly developed numerical method with nonlocal nature. Its straightforward integral form equation of motion allows simulating dynamic problems without any extra consideration required. The formation of crack and its propagation is known as natural to peridynamic. This means that discontinuity is a result of the simulation and does not demand any post-processing. As with other nonlocal methods, PD is considered an expensive method. The refinement of the nodal spacing while keeping the neighborhood size (i.e., horizon radius) constant, emerges to several nonphysical phenomena.
This research aims to reduce the peridynamic computational and imple- mentation costs. A novel refinement approach is introduced. The pro- posed approach takes advantage of the PD flexibility in choosing the shape of the horizon by introducing multiple domains (with no intersections) to the nodes of the refinement zone. It will be shown that no ghost forces will be created when changing the horizon sizes in both subdomains. The approach is applied to both bond-based and state-based peridynamic and verified for a simple wave propagation refinement problem illustrating the efficiency of the method. Further development of the method for higher dimensions proves to have a direct relationship with the mesh sensitivity of the PD. A method for solving the mesh sensitivity of the PD is intro- duced. The application of the method will be examined by solving a crack propagation problem similar to those reported in the literature.
New software architecture is proposed considering both academic and in- dustrial use. The available simulation tools for employing PD will be collected, and their advantages and drawbacks will be addressed. The challenges of implementing any node base nonlocal methods while max- imizing the software flexibility to further development and modification will be discussed and addressed. A software named Relation-Based Sim- ulator (RBS) is developed for examining the proposed architecture. The exceptional capabilities of RBS will be explored by simulating three distinguished models. RBS is available publicly and open to further develop- ment. The industrial acceptance of the RBS will be tested by targeting its performance on one Mac and two Linux distributions.
Kleine Kommunen im ländlichen Raum sind aufgrund ihrer oft eingeschränkten personellen und finanziellen Kapazitäten bisher eher sporadisch in den Themenfeldern Energieeffizienz und Erneuerbare Energien aktiv. Immer wieder stellt sich daher Frage, wie die Klimaschutzstrategien des Bundes und der Länder dort mit dem verfügbaren Personal kostengünstig realisierbar sind. Vor diesem Hintergrund wird ein Werkzeug entwickelt, mit dessen Hilfe der aktive Einstieg in diese Thematik mit geringen Aufwand und überwiegend barrierefrei möglich ist.
Der Aufbau eines prozessorientierten Entwicklungs- und Moderationsmodells zur Erprobung und Umsetzung bezahlbarer Handlungsoptionen für Energieeinsparungen und effizienten Energieeinsatz im überwiegend ländlichen geprägten Raum ist der Schwerpunkt der Softwarelösung.
Kommunen werden mit deren Hilfe in die Lage versetzt, in die notwendigen Prozesse der Energie- und Wärmewende einzusteigen. Dabei soll der modulare Aufbau die regulären Schritte notwendiger (integrierter) Planungsprozesse nicht vollständig ersetzen. Vielmehr können innerhalb der Online-Anwendung - überwiegend automatisiert - konkrete Maßnahmenvorschläge erstellt werden, die ein solides Fundament der künftigen energetischen Entwicklung der Kommunen darstellen.
Für eine gezielte Validierung der Ergebnisse und der Ableitung potentieller Maßnahmen werden für die Erprobung Modellkommunen in Thüringen, Bayern und Hessen als Reallabore einbezogen.
Das Tool steht bisher zunächst nur den beteiligten Modellkommunen zur Verfügung. Die entwickelte Softwarelösung soll künftig Schritt für Schritt allen interessierten Kommunen mit diversen Hilfsmitteln und einer Vielzahl anderer praktischer Bestandteile zur Verfügung gestellt werden.
With the growing importance of the World Wide Web, the major challenges our society faces are also increasingly affecting the digital areas of our lives. Some of the associated problems can be addressed by computer science, and some of these specifically by data-driven research. To do so, however, requires to solve open issues related to archive quality and the large volume and variety of the data contained.
This dissertation contributes data, algorithms, and concepts towards leveraging the big data and temporal provenance capabilities of web archives to tackle societal challenges. We selected three such challenges that highlight the central issues of archive quality, data volume, and data variety, respectively:
(1) For the preservation of digital culture, this thesis investigates and improves the automatic quality assurance of the web page archiving process, as well as the further processing of the resulting archive data for automatic analysis.
(2) For the critical assessment of information, this thesis examines large datasets of Wikipedia and news articles and presents new methods for automatically determining quality and bias.
(3) For digital security and privacy, this thesis exploits the variety of content on the web to quantify the security of mnemonic passwords and analyzes the privacy-aware re-finding of the various seen content through private web archives.
Real-world labs hold the potential to catalyse rapid urban transformations through real-world experimentation. Characterised by a rather radical, responsive, and location-specific nature, real-world labs face constraints in the scaling of experimental knowledge. To make a significant contribution to urban transformation, the produced knowledge must go beyond the level of a building, street, or small district where real-world experiments are conducted. Thus, a conflict arises between experimental boundaries and the stimulation of broader implications. The challenges of scaling experimental knowledge have been recognised as a problem, but remain largely unexplained. Based on this, the article will discuss the applicability of the “typology of amplification processes” by Lam et al. (2020) to explore and evaluate the potential of scaling experimental knowledge from real-world labs. The application of the typology is exemplified in the case of the Bauhaus.MobilityLab. The Bauhaus.MobilityLab takes a unique approach by testing and developing cross-sectoral mobility, energy, and logistics solutions with a distinct focus on scaling knowledge and innovation. For this case study, different qualitative research techniques are combined according to “within-method triangulation” and synthesised in a strengths, weaknesses, opportunities, and threats (SWOT) analysis. The analysis of the Bauhaus.MobilityLab proves that the “typology of amplification processes” is useful as a systematic approach to identifying and evaluating the potential of scaling experimental knowledge.
The seismic vulnerability assessment of existing reinforced concrete (RC) buildings is a significant source of disaster mitigation plans and rescue services. Different countries evolved various Rapid Visual Screening (RVS) techniques and methodologies to deal with the devastating consequences of earthquakes on the structural characteristics of buildings and human casualties. Artificial intelligence (AI) methods, such as machine learning (ML) algorithm-based methods, are increasingly used in various scientific and technical applications. The investigation toward using these techniques in civil engineering applications has shown encouraging results and reduced human intervention, including uncertainties and biased judgment. In this study, several known non-parametric algorithms are investigated toward RVS using a dataset employing different earthquakes. Moreover, the methodology encourages the possibility of examining the buildings’ vulnerability based on the factors related to the buildings’ importance and exposure. In addition, a web-based application built on Django is introduced. The interface is designed with the idea to ease the seismic vulnerability investigation in real-time. The concept was validated using two case studies, and the achieved results showed the proposed approach’s potential efficiency
The growing complexity of modern engineering problems necessitates development of advanced numerical methods. In particular, methods working directly with discrete structures, and thus, representing exactly some important properties of the solution on a lattice and not just approximating the continuous properties, become more and more popular nowadays. Among others, discrete potential theory and discrete function theory provide a variety of methods, which are discrete counterparts of the classical continuous methods for solving boundary value problems. A lot of results related to the discrete potential and function theories have been presented in recent years. However, these results are related to the discrete theories constructed on square lattices, and, thus, limiting their practical applicability and
potentially leading to higher computational costs while discretising realistic domains.
This thesis presents an extension of the discrete potential theory and discrete function theory to rectangular lattices. As usual in the discrete theories, construction of discrete operators is strongly influenced by a definition of discrete geometric setting. For providing consistent constructions throughout the whole thesis, a detailed discussion on the discrete geometric setting is presented in the beginning. After that, the discrete fundamental solution of the discrete Laplace operator on a rectangular lattice, which is the core of the discrete potential theory, its numerical analysis, and practical calculations are presented. By using the discrete fundamental solution of the discrete Laplace operator on a rectangular lattice, the discrete potential theory is then constructed for interior and exterior settings. Several discrete interior and exterior boundary value problems are then solved. Moreover, discrete transmission problems are introduced and several numerical examples of these problems are discussed. Finally, a discrete fundamental solution of the discrete Cauchy-Riemann operator on a rectangular lattice is constructed, and basics of the discrete function theory on a rectangular lattice are provided. This work indicates that the discrete theories provide
solution methods with very good numerical properties to tackle various boundary value problems, as well as transmission problems coupling interior and exterior problems. The results presented in this thesis provide a basis for further development of discrete theories on irregular lattices.
In recent years, lightweight materials, such as polymer composite materials (PNCs) have been studied and developed due to their excellent physical and chemical properties. Structures composed of these composite materials are widely used in aerospace engineering structures, automotive components, and electrical devices. The excellent and outstanding mechanical, thermal, and electrical properties of Carbon nanotube (CNT) make it an ideal filler to strengthen polymer materials’ comparable properties. The heat transfer of composite materials has very promising engineering applications in many fields, especially in electronic devices and energy storage equipment. It is essential in high-energy density systems since electronic components need heat dissipation functionality. Or in other words, in electronic devices the generated heat should ideally be dissipated by light and small heat sinks.
Polymeric composites consist of fillers embedded in a polymer matrix, the first ones will significantly affect the overall (macroscopic) performance of the material. There are many common carbon-based fillers such as single-walled carbon nanotubes (SWCNT), multi-walled carbon nanotubes (MWCNT), carbon nanobuds (CNB), fullerene, and graphene. Additives inside the matrix have become a popular subject for researchers. Some extraordinary characters, such as high-performance load, lightweight design, excellent chemical resistance, easy processing, and heat transfer, make the design of polymeric nanotube composites (PNCs) flexible. Due to the reinforcing effects with different fillers on composite materials, it has a higher degree of freedom and can be designed for the structure according to specific applications’ needs. As already stated, our research focus will be on SWCNT enhanced PNCs. Since experiments are timeconsuming, sometimes expensive and cannot shed light into phenomena taking place for instance at the interfaces/interphases of composites, they are often complemented through theoretical and computational analysis.
While most studies are based on deterministic approaches, there is a comparatively lower number of stochastic methods accounting for uncertainties in the input parameters. In deterministic models, the output of the model is fully determined by the parameter values and the initial conditions. However, uncertainties in the input parameters such as aspect ratio, volume fraction, thermal properties of fiber and matrix need to be taken into account for reliable predictions. In this research, a stochastic multiscale method is provided to study the influence of numerous uncertain input parameters on the thermal conductivity of the composite. Therefore, a hierarchical multi-scale method based on computational homogenization is presented in to predict the macroscopic thermal conductivity based on the fine-scale structure. In order to study the inner mechanism, we use the finite element method and employ surrogate models to conduct a Global Sensitivity Analysis (GSA). The SA is performed in order to quantify the influence of the conductivity of the fiber, matrix, Kapitza resistance, volume fraction and aspect ratio on the macroscopic conductivity. Therefore, we compute first-order and total-effect sensitivity indices with different surrogate models.
As stochastic multiscale models are computational expensive, surrogate approaches are commonly exploited. With the emergence of high performance computing and artificial intelligence, machine learning has become a popular modeling tool for numerous applications. Machine learning (ML) is commonly used in regression and maps data through specific rules with algorithms to build input and output models. They are particularly useful for nonlinear input-output relationships when sufficient data is available. ML has also been used in the design of new materials and multiscale analysis. For instance, Artificial neural networks and integrated learning seem to be ideally for such a task. They can theoretically simulate any non-linear relationship through the connection of neurons. Mapping relationships are employed to carry out data-driven simulations of inputs and outputs in stochastic modeling.
This research aims to develop a stochastic multi-scale computational models of PNCs in heat transfer. Multi-scale stochastic modeling with uncertainty analysis and machine learning methods consist of the following components:
-Uncertainty Analysis. A surrogate based global sensitivity analysis is coupled with a hierarchical multi-scale method employing computational homogenization. The effect of the conductivity of the fibers and the matrix, the Kapitza resistance, volume fraction and aspect ratio on the ’macroscopic’ conductivity of the composite is systematically studied. All selected surrogate models yield consistently the conclusions that the most influential input parameters are the aspect ratio followed by the volume fraction. The Kapitza Resistance has no significant effect on the thermal conductivity of the PNCs. The most accurate surrogate model in terms of the R2 value is the moving least square (MLS).
-Hybrid Machine Learning Algorithms. A combination of artificial neural network (ANN) and particle swarm optimization (PSO) is applied to estimate the relationship between variable input and output parameters. The ANN is used for modeling the composite while PSO improves the prediction performance through an optimized global minimum search. The thermal conductivity of the fibers and the matrix, the kapitza resistance, volume fraction and aspect ratio are selected as input parameters. The output is the macroscopic (homogenized) thermal conductivity of the composite. The results show that the PSO significantly improves the predictive ability of this hybrid intelligent algorithm, which outperforms traditional neural networks.
-Stochastic Integrated Machine Learning. A stochastic integrated machine learning based multiscale approach for the prediction of the macroscopic thermal conductivity in PNCs is developed. Seven types of machine learning models are exploited in this research, namely Multivariate Adaptive Regression Splines (MARS), Support Vector Machine (SVM), Regression Tree (RT), Bagging Tree (Bag), Random Forest (RF), Gradient Boosting Machine (GBM) and Cubist. They are used as components of stochastic modeling to construct the relationship between the variable of the inputs’ uncertainty and the macroscopic thermal conductivity of PNCs. Particle Swarm Optimization (PSO) is used for hyper-parameter tuning to find the global optimal values leading to a significant reduction in the computational cost. The advantages and disadvantages of various methods are also analyzed in terms of computing time and model complexity to finally give a recommendation for the applicability of different models.
The goal of architecture is changing in response to the expanding role of cities, rapid urbanization, and transformation under changing economic, environmental, social, and demographic factors. As cities increased in the early modern era, overcrowding, urbanization, and pollution conditions led reformers to consider the future shape of the cities. One of the most critical topics in contemporary architecture is the subject of the future concepts of living. In most cases, domed cities, as a future concept of living, are rarely considered, and they are used chiefly as “utopian” visions in the discourse of future ways of living. This paper highlights the reviews of domed cities to deepen the understanding of the idea in practice, like its approach in terms of architecture. The main aim of this paper is to provide a broad overview for domed cities in the face of pollution as one of the main concerns in many European cities. As a result, the significance of the reviews of the existing projects is focused on their conceptual quality. This review will pave the way for further studies in terms of future developments in the realm of domed cities. In this paper, the city of Celje, one of the most polluted cities in Slovenia, is taken as a case study for considering the concept of Dome incorporated due to the lack of accessible literature on the topic. This review’s primary contribution is to allow architects to explore a broad spectrum of innovation by comparing today’s achievable statuses against the possibilities generated by domed cities. As a result of this study, the concept of living under the Dome remains to be developed in theory and practice. The current challenging climatic situation will accelerate the evolution of these concepts, resulting in the formation of new typologies, which are a requirement for humanity.