Structural system reliability analysis based on multi-modal optimization and saddlepoint approximation

被引：10

作者：

Huang, Xianzhen ^{[1
,2
]}

Lv, Chunmei ^{[1
]}

Li, Changyou ^{[1
]}

Zhang, Yimin ^{[3
]}

机构：

[1] Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110819, Peoples R China

[2] Northeastern Univ, Key Lab Vibrat & Control Aero Prop Syst, Minist Educ China, Shenyang, Peoples R China

[3] Shenyang Univ Chem Technol, Equipment Reliabil Inst, Shenyang, Peoples R China

来源：

MECHANICS OF ADVANCED MATERIALS AND STRUCTURES | 2022年 / 29卷 / 27期

基金：

中国国家自然科学基金;

关键词：

Structural system reliability; second-order reliability method; multi-modal optimization; saddlepoint approximation; most probable point; BOUNDS;

D O I：

10.1080/15376494.2021.1968083

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper studies reliability analysis of structures with multiple failure modes. The analysis consists of three parts. First, the memetic animal migration optimization algorithm, applied for multiple optimum points detection in a multimodal optimization problem, is used to search for the most probable points of the limit state functions of main failure modes. Next, the multi-point first-order reliability method is used to estimate the failure probability of structures with multiple failure modes. Last, the saddlepoint approximation based second-order reliability method is further extended to system reliability analysis, aiming to improve the accuracy of system reliability prediction.

引用

页码：5876 / 5884

页数：9

共 35 条

[1] Krill herd algorithm-based neural network in structural seismic reliability evaluation [J].