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Robust design optimization of structures with multimodal responses using Taylor expansions
Citation Link: https://doi.org/10.15480/882.16217
Publikationstyp
Journal Article
Date Issued
2025-11-15
Sprache
English
TORE-DOI
Volume
68
Issue
12
Article Number
242
Citation
Structural and Multidisciplinary Optimization 68 (12): 242 (2025)
Publisher DOI
Scopus ID
Publisher
Springer
Peer Reviewed
true
This paper shows how a combination of multiple linear approximations can efficiently capture nonlinear and non-smooth response functions in the framework of robust design optimization. The basic idea is to split the domain of random parameters into multiple subdomains along discontinuities of the response. For each subdomain, a linear approximation is used to determine the stochastic moments of the response function due to the scatter in that subdomain. The total stochastic distribution of the structural response is considered to be a multimodal distribution, and its moments are composed of the approximations in the subdomains. The application to use cases shows that indeed the structural response is multimodal in these cases, and the stochastic moments are shown to be sufficiently accurate using the proposed method.
Subjects
Multimodal response
Probabilistic analysis
Robust design optimization
Taylor series approximation
DDC Class
624.17: Structural Analysis and Design
Publication version
publishedVersion
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