期刊
ENGINEERING OPTIMIZATION
卷 51, 期 12, 页码 2011-2029出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/0305215X.2018.1561885
关键词
Response surface method; reliability-based design optimization; reliability analysis; dimension reduction
Reliability-based design optimization (RBDO) requires the evaluation of probabilistic constraints (or reliability), which can be very time consuming. Therefore, a practical solution for efficient reliability analysis is needed. The response surface method (RSM) and dimension reduction (DR) are two well-known approximation methods that construct the probabilistic limit state functions for reliability analysis. This article proposes a new RSM-based approximation approach, named the adaptive improved response surface method (AIRSM), which uses the moving least-squares method in conjunction with a new weight function. AIRSM is tested with two simplified designs of experiments: saturated design and central composite design. Its performance on reliability analysis is compared with DR in terms of efficiency and accuracy in multiple RBDO test problems.
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