A Partial Multiplicative Dimensional Reduction-Based Reliability Estimation Method for Probabilistic and Non-Probabilistic Hybrid Structural Systems

被引：0

作者：

Chen, Xuyong ^{[1
]}

Peng, Yuanlin ^{[1
]}

Xu, Zhifeng ^{[1
]}

Wu, Qiaoyun ^{[1
]}

机构：

[1] Wuhan Inst Technol, Sch Civil Engn & Architecture, Wuhan 430074, Peoples R China

来源：

APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 18期

基金：

中国国家自然科学基金;

关键词：

reliability analysis; variable decorrelation; probabilistic and non-probabilistic hybrid structural systems; multiplicative dimensional reduction; weakest-link theory;

D O I：

10.3390/app12189383

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

A new reliability estimation method based on partial multiplicative dimensional reduction is proposed for probabilistic and non-probabilistic hybrid structural systems. The proposed method is characterized by decorrelating interval input variables from random input variables using the partial multiplicative dimensional reduction method in conjunction with the weakest-link theory. In this method, the failure statistics of the original performance function are equivalent to a statical chain of two elements, in which one of the two elements represents the failures due to random input variables and the other represents the failures due to interval variables. Rather than yielding an estimated interval of failure probability, the proposed method produces a single value for failure probability, which is more meaningful for engineering. In addition, the accuracy, validity, and superiority of the proposed method are demonstrated, and the error-related properties of the proposed method are investigated.

引用

页数：15