计算力学学报2023，Vol.40Issue(6)：872-878,7.DOI:10.7511/jslx20220421001
基于粒子群-AK-MCS法的结构可靠性分析
Structural reliability analysis based on particle swarm optimization AK-MCS method
摘要
Abstract
A Kriging surrogate model has been widely used in reliability analysis due to its favourable nonlinear fitting ability.In order to improve the modeling efficiency of a Kriging model,a hybrid particle swarm optimization AK-MCS method is proposed in this paper.The method reduces the number of iterations of the surrogate model construction and improves the global optimization capability of the model while ensuring the model accuracy.Taking a 10-bar truss structure as the research object,the failure probability of the truss structure was determined quickly by establishing the proxy model between the control displacement of the structure,the section area of the rod and the concentrated load.The results show that the proposed method can effectively improve the modeling efficiency and accuracy of a Kriging model,and is feasible in the calculation of complex engineering structures.关键词
代理模型/失效概率/粒子群/桁架结构/可靠性分析Key words
surrogate model/failure probability/particle swarm optimization/trusswork/reliability analy-sis分类
数理科学引用本文复制引用
姜封国,于正,白丽丽,周玉明..基于粒子群-AK-MCS法的结构可靠性分析[J].计算力学学报,2023,40(6):872-878,7.基金项目
国家自然科学基金面上项目(11872157) （11872157）
黑龙江省省属本科高校基本科研业务费项目(2020-KYYWF-0707) （2020-KYYWF-0707）
黑龙江省自然科学基金(LH2022E108)资助. （LH2022E108）
