<div class="csl-bib-body">
<div class="csl-entry">Deix, K., & Müller, C. (2022). A structure topology optimization approach for architects in Blender 3D. In <i>Proceedings of the Fourteenth International Conference on Computational Structures Technology</i>. Fourteenth International Conference on Computational Structures Technology, Montpellier, France.</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/150241
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dc.description.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.
en
dc.language.iso
en
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dc.subject
Generative algorithm
en
dc.subject
Topology optimization
en
dc.subject
Finite element analysis
en
dc.title
A structure topology optimization approach for architects in Blender 3D
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.issn
2753-3239
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the Fourteenth International Conference on Computational Structures Technology
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tuw.researchTopic.id
C3
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tuw.researchTopic.name
Computational System Design
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E207-01 - Forschungsbereich Baustofflehre und Werkstofftechnologie
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dc.description.numberOfPages
7
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tuw.event.name
Fourteenth International Conference on Computational Structures Technology
