期刊
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
卷 54, 期 6, 页码 1543-1556出版社
SPRINGER
DOI: 10.1007/s00158-016-1530-2
关键词
Model uncertainty; Reliability-based design optimization; Copula modeling; Bias correction; Vehicle design
资金
- Ford Motor Company
- National Science Foundation [1507198]
- Directorate For Engineering
- Div Of Electrical, Commun & Cyber Sys [1507198] Funding Source: National Science Foundation
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.
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