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Author(s):	Tabarelli, Simon
Title:
Abstract:	In Zeiten, in denen der Klimawandel und der Naturschutz allgegenwärtige Themen sind, muss sich das Bauwesen die Frage stellen, durch welche Maßnahmen die Bauwerke der Zukunft ressourcenschonend und nachhaltig gebaut werden können. In dieser Hinsicht besitzen einige Disziplinen des Bauingenieurwesens, wie bspw. die Bauphysik und die Materialforschung, offensichtliches Optimierungspotenzial. Der konstruktive Ingenieurbau besitzt bei dem Entwurf und der Bemessung von Tragwerken ebenfalls ein großes Potenzial zur Optimierung, allerdings sind hier die Optimierungsmethoden hochgradig nichtlinear, komplex und zeitintensiv, weshalb sie nur selten angewendet werden. An dieser Problemstellung setzt eine neu entwickelte Methode zur Visualisierung und Verifizierung von Optimierungsergebnissen an. Die Visualisierung liefert durch die räumliche Darstellung nichtlinearer Zusammenhänge Erkenntnisse, die bei der Einordnung und Verifizierung von Optimierungsergebnissen helfen. Die neue Methode wurde anhand von Benchmark-Testproblemen getestet und erweist sich als leistungsstarkes Tool zur schnelleren und unkomplizierteren Lösung von nichtlinearen Optimierungsproblemen. Solving non-linear optimization tasks in structural engineering - from visualization to verification of optimization results In times when climate change and nature conservation are omnipresent issues, the building industry must ask itself which measures can be used to build the structures of the future in a resource-saving and sustainable manner. In this regard, some engineering disciplines, such as building physics and materials research, have obvious potential for optimization. Structural engineering also has great potential for optimization in the design and dimensioning of supporting structures, but the optimization methods here are highly non-linear, complex and time-consuming, which is why they are rarely used. A newly developed method for the visualization and verification of optimization results addresses this problem. Through the spatial representation of non-linear relationships, the visualization provides insights that help with the classification and verification of optimization results. The new method has been tested on benchmark test problems and has proven to be a powerful tool for faster and less complicated solving of non-linear optimization problems.
Source:	Bautechnik 97 (2020), No. 12
Page/s:	846-855
Language of Publication:	German

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