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Reliability-based optimization algorithm using hybrid model with truncated probability and non-probability
Zhou, L. and Y. Li
2017
发表期刊Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
卷号38期号:1
摘要A new hybrid reliability model is presented for the case that truncated probabilistic variables and non-probabilistic variables exist simultaneously in engineering. Based on the new hybrid reliability model and reliability index assessment (RIA) method, a nested loop hybrid reliability-based optimization model is also presented. Modified ST-Powell optimization algorithm with better search strategy is used to search the optimal values of design variables in the out-loop. Modified limit step length iteration algorithm, which can ensure convergence, is used to solve the new hybrid reliability index in the inner-loop. Numerical examples show that the global optimization rate of the modified ST-Powell optimization algorithm with better search strategy can be promoted significantly, and the validity of hybrid reliability-based optimization model searched by the algorithm presented in this paper is proved. The algorithm can obtain the optimal values for hybrid reliability-based optimization model with high nonlinear limit state function. The algorithm presented in this paper has a good adaptability to hybrid reliability-based optimization problems of engineering structure. 2017, Press of Chinese Journal of Aeronautics. All right reserved.
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语种中文
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/59495
专题中科院长春光机所知识产出
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Zhou, L. and Y. Li. Reliability-based optimization algorithm using hybrid model with truncated probability and non-probability[J]. Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica,2017,38(1).
APA Zhou, L. and Y. Li.(2017).Reliability-based optimization algorithm using hybrid model with truncated probability and non-probability.Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica,38(1).
MLA Zhou, L. and Y. Li."Reliability-based optimization algorithm using hybrid model with truncated probability and non-probability".Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica 38.1(2017).
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