Sampling-Based RBDO Using Score Function with Re-Weighting Scheme

Event
SAE 2013 World Congress & Exhibition
Authors Abstract
Content
Sampling-based methods are general but time consuming for solving a Reliability-Based Design Optimization (RBDO) problem. In order to alleviate the computation burden, score function together with the Monte Carlo method was used to compute the stochastic sensitivities of reliability functions. In literature, re-weighting schemes were shown to converge faster than the regular Monte Carlo method. In this paper, a reweighting scheme together with score function is employed to perform sampling-based stochastic sensitivity analysis to improve the computational efficiency and accuracy. An analytical example is used to show the advantages of the proposed method. Comparisons to the conventional methods are made and discussed. Two RBDO problems are solved to demonstrate the use of the proposed method.
Meta TagsDetails
DOI
https://doi.org/10.4271/2013-01-0377
Pages
7
Citation
Lin, S., Shi, L., and Yang, R., "Sampling-Based RBDO Using Score Function with Re-Weighting Scheme," SAE Int. J. Mater. Manf. 6(3):375-381, 2013, https://doi.org/10.4271/2013-01-0377.
Additional Details
Publisher
Published
Apr 8, 2013
Product Code
2013-01-0377
Content Type
Journal Article
Language
English