Record link: 
http://hdl.handle.net/20.500.12708/205216
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Title: 
Fitness Criteria for the Optimization of Load-Bearing Structures in Comparison
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Citation: 
Müller, C., & Deix, K. (2024). Fitness Criteria for the Optimization of Load-Bearing Structures in Comparison. In P. Ivanyi, J. Kruis, & B. H. V. Topping (Eds.), CCC: 9 Proceedings of the Fifteenth International Conference on Computational Structures Technology. https://doi.org/10.4203/ccc.9.4.8
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Publisher DOI: 
10.4203/ccc.9.4.8
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Müller, Christoph 
Deix, Karl 
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Organisational Unit: 
E207-01 - Forschungsbereich Baustofflehre und Werkstofftechnologie 
E207-01 - Forschungsbereich Baustofflehre und Werkstofftechnologie 
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Published in: 
CCC: 9 Proceedings of the Fifteenth International Conference on Computational Structures Technology 
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DOI of the book: 
10.4203/ccc.9.4.8
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Date (published): 
6-Sep-2024
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Event name: 
CST 2024: The Fifteenth International Conference on Computational Structures Technology 
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Event date: 
4-Sep-2024 - 6-Sep-2024
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Event place: 
Czechia
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Keywords: 
gradient descent; genetic algorithm; architectural; structural optimization; structural optimization; open source; finite element analysis; phänotyp; blender3D; PyNite
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Abstract: 
Structural optimization is not just about reducing material and increasing load-bearing capacity. Architecture has concepts that allow an ideal use of the building, maximise the quality of stay, react to sights and much more. How can these goals be negotiated? Which concepts are in conflict and which complement each other? How can synergy effects be created? In this paper, we examine the interweaving of architectural concepts and structural design using a fictitious example of a bridge. We used our in-house developed software “Phänotyp”, a software specially designed for form- and cross-section optimization in the field of architecture. The process is carried out step by step and the different optimization methods are compared.
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Research Areas: 
Modeling and Simulation: 50%
Computational System Design: 50%
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Science Branch: 
2011 - Bauingenieurwesen: 25%
2050 - Werkstofftechnik: 25%
1010 - Mathematik: 50%
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