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Structural and Multidisciplinary Optimization

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30.06.2016 | RESEARCH PAPER

Model uncertainty approximation using a copula-based approach for reliability based design optimization

verfasst von: Hao Pan, Zhimin Xi, Ren-Jye Yang

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 6/2016

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Abstract

Reliability-based design optimization (RBDO) has been widely used to design engineering products with minimum cost function while meeting reliability constraints. Although uncertainties, such as aleatory uncertainty and epistemic uncertainty, have been well considered in RBDO, they are mainly considered for model input parameters. Model uncertainty, i.e., the uncertainty of model bias indicating the inherent model inadequacy for representing the real physical system, is typically overlooked in RBDO. This paper addresses model uncertainty approximation in a product design space and further integrates the model uncertainty into RBDO. In particular, a copula-based bias modeling approach is proposed and results are demonstrated by two vehicle design problems.

Vorheriger Artikel A systematic approach for model refinement considering blind and recognized uncertainties in engineered product development

Nächster Artikel Stochastic inverse method to identify parameter random fields in a structure

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Titel: Model uncertainty approximation using a copula-based approach for reliability based design optimization
verfasst von: Hao Pan
Zhimin Xi
Ren-Jye Yang
Publikationsdatum: 30.06.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Structural and Multidisciplinary Optimization / Ausgabe 6/2016
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-016-1530-2

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