@article{HarirchianKumariJadhavetal., author = {Harirchian, Ehsan and Kumari, Vandana and Jadhav, Kirti and Raj Das, Rohan and Rasulzade, Shahla and Lahmer, Tom}, title = {A Machine Learning Framework for Assessing Seismic Hazard Safety of Reinforced Concrete Buildings}, series = {Applied Sciences}, volume = {2020}, journal = {Applied Sciences}, number = {Volume 10, issue 20, article 7153}, publisher = {MDPI}, address = {Basel}, doi = {10.3390/app10207153}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20201022-42744}, pages = {18}, abstract = {Although averting a seismic disturbance and its physical, social, and economic disruption is practically impossible, using the advancements in computational science and numerical modeling shall equip humanity to predict its severity, understand the outcomes, and equip for post-disaster management. Many buildings exist amidst the developed metropolitan areas, which are senile and still in service. These buildings were also designed before establishing national seismic codes or without the introduction of construction regulations. In that case, risk reduction is significant for developing alternatives and designing suitable models to enhance the existing structure's performance. Such models will be able to classify risks and casualties related to possible earthquakes through emergency preparation. Thus, it is crucial to recognize structures that are susceptible to earthquake vibrations and need to be prioritized for retrofitting. However, each building's behavior under seismic actions cannot be studied through performing structural analysis, as it might be unrealistic because of the rigorous computations, long period, and substantial expenditure. Therefore, it calls for a simple, reliable, and accurate process known as Rapid Visual Screening (RVS), which serves as a primary screening platform, including an optimum number of seismic parameters and predetermined performance damage conditions for structures. In this study, the damage classification technique was studied, and the efficacy of the Machine Learning (ML) method in damage prediction via a Support Vector Machine (SVM) model was explored. The ML model is trained and tested separately on damage data from four different earthquakes, namely Ecuador, Haiti, Nepal, and South Korea. Each dataset consists of varying numbers of input data and eight performance modifiers. Based on the study and the results, the ML model using SVM classifies the given input data into the belonging classes and accomplishes the performance on hazard safety evaluation of buildings.}, subject = {Erdbeben}, language = {en} } @incollection{Schnurbein, author = {Schnurbein, Stefanie von}, title = {Mehr als Anerkennung. Das Schreiblabor als Resonanzraum und Assemblage}, series = {Experimente lernen, Techniken tauschen. Ein spekulatives Handbuch}, booktitle = {Experimente lernen, Techniken tauschen. Ein spekulatives Handbuch}, publisher = {Nocturne}, address = {Berlin/Weimar}, doi = {10.25643/bauhaus-universitaet.4265}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20201009-42656}, publisher = {Bauhaus-Universit{\"a}t Weimar}, pages = {141 -- 164}, abstract = {Ein "how to" von Schreibtechniken f{\"u}r Seminare und Kolloquien.}, subject = {K{\"u}nstlerische Forschung}, language = {de} } @article{AlsaadVoelker, author = {Alsaad, Hayder and V{\"o}lker, Conrad}, title = {Der K{\"u}hlungseffekt der personalisierten L{\"u}ftung}, series = {Bauphysik}, volume = {2020}, journal = {Bauphysik}, number = {volume 42, issue 5}, publisher = {Ernst \& Sohn bei John Wiley \& Sons}, address = {Hoboken}, doi = {10.25643/bauhaus-universitaet.4272}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20201020-42723}, pages = {218 -- 225}, abstract = {Personalisierte L{\"u}ftung (PL) kann die thermische Behaglichkeit sowie die Qualit{\"a}t der eingeatmeten Atemluft verbessern, in dem jedem Arbeitsplatz Frischluft separat zugef{\"u}hrt wird. In diesem Beitrag wird die Wirkung der PL auf die thermische Behaglichkeit der Nutzer unter sommerlichen Randbedingungen untersucht. Hierf{\"u}r wurden zwei Ans{\"a}tze zur Bewertung des K{\"u}hlungseffekts der PL untersucht: basierend auf (1) der {\"a}quivalenten Temperatur und (2) dem thermischen Empfinden. Grundlage der Auswertung sind in einer Klimakammer gemessene sowie numerisch simulierte Daten. Vor der Durchf{\"u}hrung der Simulationen wurde das numerische Modell zun{\"a}chst anhand der gemessenen Daten validiert. Die Ergebnisse zeigen, dass der Ansatz basierend auf dem thermischen Empfinden zur Evaluierung des K{\"u}hlungseffekts der PL sinnvoller sein kann, da bei diesem die komplexen physiologischen Faktoren besser ber{\"u}cksichtigt werden.}, subject = {L{\"u}ftung}, language = {de} } @incollection{Egert, author = {Egert, Gerko}, title = {Radikale Planung}, series = {Experimente lernen, techniken tauschen. Ein spekulatives Handbuch}, booktitle = {Experimente lernen, techniken tauschen. Ein spekulatives Handbuch}, publisher = {Nocturne}, address = {Berlin/Weimar}, doi = {10.25643/bauhaus-universitaet.4262}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20201009-42628}, publisher = {Bauhaus-Universit{\"a}t Weimar}, pages = {105 -- 118}, abstract = {Radikal Planen kann jede*r. Im Seminar, in der Lesegruppe, bei der Probe, im Studio, bei der politischen Aktion, bei der Textlekt{\"u}re. Man braucht nicht viel - nur viele. Denn planen macht man nicht allein. Eine Gruppe sind viele, Kommilitonen*innen wie Freund*innen, K{\"u}nstler*innen und Genoss*innen…}, subject = {Theater}, language = {de} } @misc{MacielCostadaSilva, type = {Master Thesis}, author = {Maciel Costa da Silva, Luiza}, title = {Smart Cities and Mobility Stations: Lessons learned from the Smarter Together in Vienna and Munich}, doi = {10.25643/bauhaus-universitaet.4270}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20201012-42702}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {110}, abstract = {With an increasing urban population and urban problems arising from this unplanned growth, several projects aimed at promoting sustainable urban development have emerged. Smart mobility strategies, such as shared mobility and mobility stations, represent some of the solutions to promote changes in travel behavior. Despite its beneficial impacts, however, the implementation of such infrastructure is criticized for not contributing to current urban issues, as well as often disregarding knowledge about urban space and its functioning. In this context, the Smarter Together, a joint research and innovation project funded through the European Union program H2020, was implemented. The project selected three lighthouse cities to test and upscale innovative solutions: Vienna, Munich, and Lyon. This master thesis presents the main characteristics of the mobility stations systems implemented in Vienna and Munich in the scope of the project Smarter Together. Its main goal is to share what can be learned from their experiences while approaching critically the concept of smart cities. This master thesis identifies important aspects to take into account when planning, implementing, and operating mobility stations, and provides an understanding of smart cities and smart mobility that goes beyond the adoption of technology. Several methods were combined for the development of this master thesis, such as quantitative secondary data, observational studies, application of survey forms, explorative expert interviews, and literature review. This work has demonstrated that the Smarter Together has a cutting-edge scope and contributed greatly to research and innovation, by creating living laboratories to test the application of technology in the urban environment. However, from the perspective of the mobility stations assessment, many caveats were made. In short, many lessons could be learned and are presented throughout this work aiming at contributing to the improvement of the mobility stations implemented in the project areas in Munich and Vienna, as well as for inspiring other cities in Europe and worldwide.}, subject = {Intelligente Stadt}, language = {en} } @inproceedings{PaulRodehorst, author = {Paul, Debus and Rodehorst, Volker}, title = {Multi-Scale Flight Path Planning for UAS Building Inspection}, series = {Proceedings of the 18th International Conference on Computing in Civil and Building Engineering}, volume = {2020}, booktitle = {Proceedings of the 18th International Conference on Computing in Civil and Building Engineering}, editor = {Santos, Toledo}, publisher = {Springer}, doi = {10.25643/bauhaus-universitaet.4205}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20201009-42053}, pages = {19}, abstract = {Unmanned aircraft systems (UAS) show large potential for the construction industry. Their use in condition assessment has increased significantly, due to technological and computational progress. UAS play a crucial role in developing a digital maintenance strategy for infrastructure, saving cost and effort, while increasing safety and reliability. Part of that strategy are automated visual UAS inspections of the building's condition. The resulting images can automatically be analyzed to identify and localize damages to the structure that have to be monitored. Further interest in parts of a structure can arise from events like accidents or collisions. Areas of low interest exist, where low resolution monitoring is sufficient. From different requirements for resolution, different levels of detail can be derived. They require special image acquisition parameters that differ mainly in the distance between camera and structure. Areas with a higher level of detail require a smaller distance to the object, producing more images. This work proposes a multi-scale flight path planning procedure, enabling higher resolution requirements for areas of special interest, while reducing the number of required images to a minimum. Careful selection of the camera positions maintains the complete coverage of the structure, while achieving the required resolution in all areas. The result is an efficient UAS inspection, reducing effort for the maintenance of infrastructure.}, subject = {Drohne}, language = {en} } @incollection{HaivenThornton, author = {Haiven, Max and Thornton, Cassie}, title = {{\"U}ber die University of the Phoenix}, series = {Experimente lernen, Techniken tauschen. Ein spekulatives Handbuch}, booktitle = {Experimente lernen, Techniken tauschen. Ein spekulatives Handbuch}, publisher = {Nocturne}, address = {Berlin und Weimar}, doi = {10.25643/bauhaus-universitaet.4264}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20201009-42640}, publisher = {Bauhaus-Universit{\"a}t Weimar}, pages = {271 -- 288}, abstract = {Wir haben die folgenden 13 Protokolle als Methodik entwickelt, die als Orientierungshilfe bei der Entstehung unserer Workshops und Interventionen dient.}, subject = {Kunst}, language = {de} } @article{HarirchianLahmerRasulzade, author = {Harirchian, Ehsan and Lahmer, Tom and Rasulzade, Shahla}, title = {Earthquake Hazard Safety Assessment of Existing Buildings Using Optimized Multi-Layer Perceptron Neural Network}, series = {Energies}, volume = {2020}, journal = {Energies}, number = {Volume 13, Issue 8, 2060}, publisher = {MDPI}, address = {Basel}, doi = {10.3390/en13082060}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20200504-41575}, pages = {16}, abstract = {The latest earthquakes have proven that several existing buildings, particularly in developing countries, are not secured from damages of earthquake. A variety of statistical and machine-learning approaches have been proposed to identify vulnerable buildings for the prioritization of retrofitting. The present work aims to investigate earthquake susceptibility through the combination of six building performance variables that can be used to obtain an optimal prediction of the damage state of reinforced concrete buildings using artificial neural network (ANN). In this regard, a multi-layer perceptron network is trained and optimized using a database of 484 damaged buildings from the D{\"u}zce earthquake in Turkey. The results demonstrate the feasibility and effectiveness of the selected ANN approach to classify concrete structural damage that can be used as a preliminary assessment technique to identify vulnerable buildings in disaster risk-management programs.}, subject = {Erdbeben}, language = {en} } @article{Haefner, author = {H{\"a}fner, Lukas}, title = {Common Ground. Kommentar zu Lisa Vollmer und Boris Michel „Wohnen in der Klimakrise. Die Wohnungsfrage als {\"o}kologische Frage"}, series = {sub\urban. zeitschrift f{\"u}r kritische stadtforschung}, volume = {2020}, journal = {sub\urban. zeitschrift f{\"u}r kritische stadtforschung}, number = {Band 8, Heft 1/2}, publisher = {Sub\urban e.V.}, address = {Leipzig}, doi = {10.36900/suburban.v8i1/2.565}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20200507-41655}, pages = {177 -- 182}, abstract = {Die im Jahr 2020 in Deutschland praktizierte Siedlungs- und Wohnungspolitik erh{\"a}lt in Anbetracht ihrer Auswirkungen auf die soziale und {\"o}kologische Lage einen bitteren Beigeschmack. Arm und Reich triften weiter auseinander und einer zielgerichteten {\"o}kologischen Transformation der Art und Weise, wie Stadtentwicklung und Wohnungspolitik gestaltet werden,stehen noch immer historisch und systemisch bedingte Pfadabh{\"a}ngigkeiten im Weg. Diese werden nur durch eine integrierte Betrachtung sozialer und {\"o}konomischer Aspekte sichtbar und deuten auf eine der urspr{\"u}nglichen Fragen linker Gesellschaftsforschung hin: Die Auseinandersetzung mit dem Verh{\"a}ltnis von Eigentum und Gerechtigkeit. Im Ergebnis stehen drei wesentliche Befunde: Der Diskurs zum Schutz des Klimas und der Biodiversit{\"a}t ber{\"u}hrt direkt die Parameter Dichte, Nutzungsmischung und Fl{\"a}cheninanspruchnahme; zweitens steigt letztere relativ mit erh{\"o}htem, individuell verf{\"u}gbaren Kapital und insbesondere im selbstgenutztem Eigentum gegen{\"u}ber Mietwohnungen; und drittens w{\"a}chst der Eigentumsanteil mit fortschreitender Finanzialisierung des Wohnungsmarktes, sodass das Risiko sozialer und {\"o}kologischer Krisen sich versch{\"a}rft.}, subject = {Umweltgerechtigkeit}, language = {de} } @phdthesis{Schmitz, author = {Schmitz, Tonia Annick}, title = {Entwicklung und Bilanzierung eines Photobioreaktorsystems zur Makroalgenkultivierung am Standort einer landwirtschaftlichen Biogasanlage}, doi = {10.25643/bauhaus-universitaet.4177}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20200604-41774}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {220}, abstract = {Marine Makroalgen besitzen vielversprechende Eigenschaften und Inhaltsstoffe f{\"u}r die Verwendung als Energietr{\"a}ger, Nahrungsmittel oder als Ausgangsstoff f{\"u}r Pharmazeutika. Dass die Quantit{\"a}t und Qualit{\"a}t der in nat{\"u}rlicher Umgebung wachsenden Makroalgen schwankt, reduziert jedoch deren Verwertbarkeit und erschwert die Erschließung hochpreisiger Marktsegmente. Zudem ist eine Ausweitung der Zucht in marinen und k{\"u}stennahen Aquakulturen in Europa gegenw{\"a}rtig wenig aussichtsreich, da vielversprechende Areale bereits zum Fischfang oder als Erholungs- bzw. Naturschutzgebiete ausgewiesen sind. Im Rahmen dieser Arbeit wird demzufolge ein geschlossenes Photobioreaktorsystem zur Makroalgenkultivierung entwickelt, welches eine umfassende Kontrolle der abiotischen Kultivierungsparameter und eine effektive Aufbereitung des Kulturmediums vorsieht, um eine standortunabh{\"a}ngige Algenproduktion zu erm{\"o}glichen. Zur Bilanzierung des Gesamtkonzeptes einer Kultivierung und Verwertung (stofflich oder energetisch) werden die spezifischen Wachstumsraten und Methanbildungspotentiale der Algenarten Ulva intestinalis, Fucus vesiculosus und Palmaria palmata in praktischen Versuchen ermittelt. Im Ergebnis wird f{\"u}r den gegenw{\"a}rtigen Entwicklungsstand der Kultivierungsanlage eine positive Bilanz f{\"u}r die stoffliche Verwertung der Algenart Ulva intestinalis und eine negative Bilanz f{\"u}r die energetische Verwertung aller untersuchten Algenarten erzielt. Wird ein Optimalszenario betrachtet, indem die Besatzdichten und Wachstumsraten der Algen in der Zucht erh{\"o}ht werden, bleibt die Energiebilanz negativ. Allerdings summieren sich die finanzielle Einnahmen durch einen Verkauf der Algen als Produkt auf j{\"a}hrlich 460.869€ f{\"u}r Ulva intestinalis, 4.010€ f{\"u}r Fucus vesiculosus und 16.913€ f{\"u}r Palmaria palmata. Im Ergebnis ist insbesondere eine stoffliche Verwertung der gez{\"u}chteten Gr{\"u}nalge Ulva intestinalis anzustreben und die Produktivit{\"a}t der Zuchtanlage im Sinne des Optimalszenarios zu steigern.}, subject = {Makroalgen}, language = {de} }