Refine
Document Type
- Article (38) (remove)
Institute
- Institut für Strukturmechanik (ISM) (11)
- Bauhaus-Institut für zukunftsweisende Infrastruktursysteme (b.is) (3)
- Professur Bauphysik (3)
- Professur Stahl- und Hybridbau (3)
- Institut für Europäische Urbanistik (2)
- Junior-Professur Organisation und vernetzte Medien (2)
- Professur Intelligentes Technisches Design (2)
- Erdbebenzentrum (1)
- Graduiertenkolleg Medienanthropologie (GRAMA) (1)
- Junior-Professur Komplexe Tragwerke (1)
- Materialforschungs- und -prüfanstalt an der Bauhaus-Universität (1)
- Professur Kulturgeschichte der Moderne (1)
- Professur Modellierung und Simulation - Konstruktion (1)
- Professur Raumplanung und Raumforschung (1)
- Professur Siedlungswasserwirtschaft (1)
- Professur Verkehrssystemplanung (1)
- Professur Werkstoffe des Bauens (1)
- Professur für Kultur- und Mediensoziologie (1)
- Theorie und Geschichte des Design (1)
- Universitätsbibliothek (1)
Keywords
- OA-Publikationsfonds2022 (23)
- Maschinelles Lernen (5)
- Beton (2)
- Bridge (2)
- Brücke (2)
- Building Information Modeling (2)
- Inspection (2)
- Inspektion (2)
- Journalismus (2)
- Kritik (2)
- Kritikbegriff (2)
- Lebenszyklus (2)
- Living wall (2)
- Measurements (2)
- Online-Medien (2)
- Stadt (2)
- Transfer learning (2)
- crowdsourcing (2)
- elementary interaction (2)
- platform (2)
- set of objectives (2)
- 3D-Printing (1)
- Abwasserreinigung (1)
- Abwassertechnologie (1)
- Activation function (1)
- Adaptive Pushover (1)
- Alltagskritik (1)
- Amplifikationsprozesse (1)
- Angewandte Mathematik (1)
- Architecture (1)
- Architecture Pollution (1)
- Architektur (1)
- Automation (1)
- Bauhaus.MobilityLab (1)
- Bauschaden (1)
- Bauwesen (1)
- Bayesian parameter update (1)
- Berlin <West> (1)
- Bildanalyse (1)
- Bildverarbeitung (1)
- Blumenberg, Hans (1)
- Cable-driven parallel robots (1)
- Collocation method (1)
- Concept of Living (1)
- Damage (1)
- Damage Information Modeling (1)
- Damage Segmentation (1)
- Damage accumulation (1)
- Damm (1)
- Debatte (1)
- Deep learning (1)
- Defekt (1)
- Delphin (1)
- Denkmalpflege (1)
- Design Spectra (1)
- Digitalisierung (1)
- Domain Adaptation (1)
- Domed Cities (1)
- Dual-support (1)
- ENVI-Met (1)
- ENVI-met (1)
- Elastizitätstheorie (1)
- Elektrostatische Welle (1)
- Empire XPU 8.01 (1)
- Erbeben (1)
- Extreme value distribution (1)
- Fatigue life (1)
- Fehlerabschätzung (1)
- Feuchteleitung (1)
- First Order Reliability Method (1)
- Fotokatalyse (1)
- Gegenwissen (1)
- Gegenwissenschaft (1)
- Gewalt (1)
- Globe thermometers (1)
- Grauwasser (1)
- Green facade (1)
- Heat transport (1)
- Herrschaftskritik (1)
- Hochwasser (1)
- Hochwasserschadensmodell (1)
- Implicit (1)
- Indoor environment (1)
- Informatik (1)
- Infrastrukturplanung (1)
- Journalistik (1)
- Kant, Immanuel (1)
- Kollokationsmethode (1)
- Kultur (1)
- Kuppelstadt (1)
- Kupplung (1)
- Life cycle assessment (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)
- Medienwissenschaft (1)
- Messung (1)
- Metapher (1)
- Metaphorik (1)
- Mikrokapsel (1)
- Mikroskopie (1)
- Moisture transport (1)
- Multikriteria-Entscheidung (1)
- Multikriterielle Entscheidungsanalyse (1)
- NURBS (1)
- NURBS geometry (1)
- Nachrichtensendung (1)
- Navier–Stokes equations (1)
- Neuronales Lernen (1)
- Nonlocal operator method (1)
- Objektorientierung (1)
- Operations Research (1)
- Operator energy functional (1)
- Potential problem (1)
- Produktdaten (1)
- Punktwolke (1)
- Rainflow counting algorithm (1)
- Realexperimente (1)
- Reallabor (1)
- Reliabilität (1)
- Rissausbreitung (1)
- Rissbildung (1)
- Robotik (1)
- Robustheit (1)
- Rotorblatt (1)
- Safety factor (1)
- Schadensakkumulation (1)
- Schadensprognose (1)
- Schwellenwert (1)
- Seismic risk (1)
- Sicherheitsfaktor (1)
- Simulation (1)
- Simulations (1)
- Soziologie (1)
- Stadtbegriff (1)
- Stadtforschung (1)
- Stadtplanung (1)
- Stahl (1)
- Stiffness matrix (1)
- Strahlungstemperatur (1)
- Structural health monitoring (1)
- Strukturkrise (1)
- Strukturmechanik (1)
- Strukturschaden (1)
- Strömungsgeschwindigkeit (1)
- Taylor series expansion (1)
- Theorie (1)
- Thermal comfort (1)
- Tragfähigkeit (1)
- Transformation (1)
- Träger (1)
- UNESCO (1)
- Umweltbilanz (1)
- Umweltverschutzung (1)
- Uncertainty (1)
- Ungewissheit (1)
- Variational principle (1)
- Vulnerability assessment (1)
- Wind load (1)
- Windkraftwerk (1)
- Windlast (1)
- Wissenschaftskritik (1)
- Wissenschaftspolitik (1)
- Wohnform (1)
- Wärmeübertragung (1)
- audience studies (1)
- capsular clustering (1)
- circumferential contact length (1)
- climate loads (1)
- communicative action (1)
- concrete (1)
- content platforms (1)
- coupling (1)
- crack (1)
- crack detection (1)
- damage identification (1)
- dams (1)
- deep learning (1)
- degradation (1)
- digital journalism (1)
- dual-support (1)
- electromagnetic waves (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)
- inverse analysis (1)
- journalism products (1)
- kritische Stadtforschung (1)
- mathematical modelling (1)
- media work (1)
- micro-pollutant treatment (1)
- microcapsule (1)
- micropolar elasticity (1)
- model comparison (1)
- multi-criteria decision analysis (1)
- multi-criteria decision analysis; (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)
- quaternionic analysis (1)
- randomized spectral representation (1)
- rapid assessment (1)
- reactor design (1)
- self-healing concrete (1)
- semi-probabilistic concept (1)
- social theory (1)
- stability (1)
- steel (1)
- titanium dioxid (1)
- transmitted light microscopy (1)
- triad of violence (1)
- urban heat island effect (1)
- variational principle (1)
- vertical green system (1)
- violence (1)
- wave propagation (1)
- wind turbine rotor blades (1)
Year of publication
- 2022 (38) (remove)
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
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.
In this paper, we present an open-source code for the first-order and higher-order nonlocal operator method (NOM) including a detailed description of the implementation. The NOM is based on so-called support, dual-support, nonlocal operators, and an operate energy functional ensuring stability. The nonlocal operator is a generalization of the conventional differential operators. Combined with the method of weighed residuals and variational principles, NOM establishes the residual and tangent stiffness matrix of operate energy functional through some simple matrix without the need of shape functions as in other classical computational methods such as FEM. NOM only requires the definition of the energy drastically simplifying its implementation. The implementation in this paper is focused on linear elastic solids for sake of conciseness through the NOM can handle more complex nonlinear problems. The NOM can be very flexible and efficient to solve partial differential equations (PDEs), it’s also quite easy for readers to use the NOM and extend it to solve other complicated physical phenomena described by one or a set of PDEs. Finally, we present some classical benchmark problems including the classical cantilever beam and plate-with-a-hole problem, and we also make an extension of this method to solve complicated problems including phase-field fracture modeling and gradient elasticity material.
In this study, we propose a nonlocal operator method (NOM) for the dynamic analysis of (thin) Kirchhoff plates. The nonlocal Hessian operator is derived based on a second-order Taylor series expansion. The NOM does not require any shape functions and associated derivatives as ’classical’ approaches such as FEM, drastically facilitating the implementation. Furthermore, NOM is higher order continuous, which is exploited for thin plate analysis that requires C1 continuity. The nonlocal dynamic governing formulation and operator energy functional for Kirchhoff plates are derived from a variational principle. The Verlet-velocity algorithm is used for the time discretization. After confirming the accuracy of the nonlocal Hessian operator, several numerical examples are simulated by the nonlocal dynamic Kirchhoff plate formulation.
We present a stochastic deep collocation method (DCM) based on neural architecture search (NAS) and transfer learning for heterogeneous porous media. We first carry out a sensitivity analysis to determine the key hyper-parameters of the network to reduce the search space and subsequently employ hyper-parameter optimization to finally obtain the parameter values. The presented NAS based DCM also saves the weights and biases of the most favorable architectures, which is then used in the fine-tuning process. We also employ transfer learning techniques to drastically reduce the computational cost. The presented DCM is then applied to the stochastic analysis of heterogeneous porous material. Therefore, a three dimensional stochastic flow model is built providing a benchmark to the simulation of groundwater flow in highly heterogeneous aquifers. The performance of the presented NAS based DCM is verified in different dimensions using the method of manufactured solutions. We show that it significantly outperforms finite difference methods in both accuracy and computational cost.
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.
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].