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An empirical study on stress-based fail-safe topology optimization and multiple load path design
Citation Link: https://doi.org/10.15480/882.3841
Publikationstyp
Journal Article
Date Issued
2021-08-14
Sprache
English
Author(s)
TORE-DOI
Volume
64
Issue
4
Start Page
2113
End Page
2134
Citation
Structural and Multidisciplinary Optimization 64 (4): 2113-2134 (2021-10-01)
Publisher DOI
Scopus ID
Publisher
Springer
Explicitly considering fail-safety within design optimization is computationally very expensive, since every possible failure has to be considered. This requires solving one finite element model per failure and iteration. In topology optimization, one cannot identify potentially failing structural members at the beginning of the optimization. Hence, a generic failure shape is applied to every possible location inside the design domain. In the current paper, the maximum stress is considered as optimization objective to be minimized, since failure is typically driven by the occurring stresses and thus of more practical relevance than the compliance. Due to the local nature of stresses, it is presumed that the optimization is more sensitive to the choice of the failure shape than compliance-based optimization. Therefore, various failure shapes, sizes and different numbers of failure cases are investigated and compared on the basis of a general load-path-based evaluation scheme. Instead of explicitly considering fail-safety, redundant structures are obtained at much less computational cost by controlling the maximum length scale. A common and easy to implement maximum length scale approach is employed and fail-safe properties are determined and compared against the explicit fail-safe approach.
Subjects
Fail-safe design
Local volume constraint
Multiple load path
Stress-based topology optimization
DDC Class
600: Technik
Publication version
publishedVersion
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