2020
DOI: 10.1093/jcde/qwaa044
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Density-based shape optimization for fail-safe design

Abstract: 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 perf… Show more

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Cited by 15 publications
(15 citation statements)
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“…Since in practice the number of joints is relatively small, also the computational effort of considering failure of joints is small, compared to optimizations considering failure of the continuum structure. 15,17 The examples shown in Section 7 have a maximum number of n j = 4 joints, which leads to n d = 4 failure cases for failure mode m = 1 and n d = 6 failure cases for failure mode m = 2.…”
Section: Objective Function Considering Failure Of Jointsmentioning
confidence: 99%
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“…Since in practice the number of joints is relatively small, also the computational effort of considering failure of joints is small, compared to optimizations considering failure of the continuum structure. 15,17 The examples shown in Section 7 have a maximum number of n j = 4 joints, which leads to n d = 4 failure cases for failure mode m = 1 and n d = 6 failure cases for failure mode m = 2.…”
Section: Objective Function Considering Failure Of Jointsmentioning
confidence: 99%
“…The NDS are defined by parametric shapes that are mapped to a general mask vector ψ 15 . The masks can either be used to remove material (denoted by ψ), add material (denoted by +ψ), or do both by subsequent application.…”
Section: Moving Nondesign Spacesmentioning
confidence: 99%
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