Record link: 
http://hdl.handle.net/20.500.12708/150241
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Title: 
A structure topology optimization approach for architects in Blender 3D
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Citation: 
Deix, K., & Müller, C. (2022). A structure topology optimization approach for architects in Blender 3D. In Proceedings of the Fourteenth International Conference on Computational Structures Technology. Fourteenth International Conference on Computational Structures Technology, Montpellier, France.
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Deix, Karl 
Müller, Christoph 
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Organisational Unit: 
E207-01 - Forschungsbereich Baustofflehre und Werkstofftechnologie 
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Published in: 
Proceedings of the Fourteenth International Conference on Computational Structures Technology 
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Date (published): 
2022
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Event name: 
Fourteenth International Conference on Computational Structures Technology 
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Event date: 
23-Aug-2022 - 25-Aug-2022
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Event place: 
Montpellier, France
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Number of Pages: 
7
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Keywords: 
Generative algorithm; Topology optimization; Finite element analysis
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Abstract: 
The presented tool is a shape finding tool for large structures in civil engineering and architecture. Based on a basic structure of nodes and bending members, different shapes can be defined as starting point for the form finding process. Several fitness functions, such as smallest total weight, smallest/uniform longitudinal stress, smallest deformations, large/small lever arm, etc. are provided for shape finding. The resulting multi-dimensional optimization problem is solved using an evolutionary algorithm. This results in novel structural forms that can be used for parametric architectural design [1], among other applications. The tool has a modular structure, allowing different ways to be selected and also to be superposed.
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Research Areas: 
Computational System Design: 100%
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Science Branch: 
2011 - Bauingenieurwesen: 100%
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Appears in Collections:
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