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Density-based shape optimization for fail-safe design
Citation Link: https://doi.org/10.15480/882.2920
Publikationstyp
Journal Article
Publikationsdatum
2020-06-01
Sprache
English
Author
Ambrozkiewicz, Olaf
TORE-URI
Enthalten in
Volume
7
Issue
5
Start Page
615
End Page
629
Citation
Journal of Computational Design and Engineering 7 (5): 615-629 (2020)
Publisher DOI
Scopus ID
Publisher
Oxford University Press
This paper presents a two-stage procedure for density-based optimization towards a fail-safe design. Existing approaches either are computationally extremely expensive or do not explicitly consider fail-safe requirements in the optimization. The current approach trades off both aspects by employing two sequential optimizations to deliver redundant designs that offer robustness to partial failure. In the first stage, a common topology optimization or a topology optimization with local volume constraints is performed. The second stage is referred to as “density-based shape optimization” since it only alters the outline of the structure while still acting on a fixed voxel-type finite element mesh with pseudo-densities assigned to each element. The performance gain and computational efficiency of the current approach are demonstrated by application to various 2D and 3D examples. The results show that, in contrast to explicitly enforcing fail-safety in topology optimization, the current approach can be carried out with reasonable computational cost. Compared to the local volume constraint approach, the suggested procedure further increases the fail-safe performance by 47% for the example considered.
Schlagworte
fail-safe
topology optimization
shape optimization
DDC Class
600: Technik
620: Ingenieurwissenschaften
More Funding Information
Bundesministerium für Wirtschaft und Energie (BMWI)
Deutsche Forschungsgemeinschaft (DFG)
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Ambrozkiewicz und Kriegesmann - 2020 - Density-based shape optimization for fail-safe des.pdf
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