Back to Search Start Over

Reliability analysis of excavator boom considering mixed uncertain variables.

Authors :
Zhang, Yuru
Liu, Xintian
Yu, Xueguang
Wang, Xu
Wang, Xiaolan
Source :
Quality & Reliability Engineering International. Jun2021, Vol. 37 Issue 4, p1468-1483. 16p.
Publication Year :
2021

Abstract

There are differences among sampling data and representation types of uncertain interval, fuzzy and random variables, which increases the complexity of structure reliability analysis. A α, β‐Cut‐FORM is proposed to analyze structure reliability considering the mixed uncertain variables. Fuzzy variables are optimized on the interval under two cut sets (α, β) based on the theory of cut set optimization. Interval variables are modeled with probability using a uniformity method. The proposed method involves the nested probabilistic analysis and interval analysis. The first‐order reliability method (FORM) is used for probabilistic analysis and nonlinear optimization is used for interval analysis. The excavator boom performance function is established for reliability analysis considering the mixed uncertain input variables, which verifies the effectiveness and advantages of the proposed method. And it has great application for safe and reliable design of excavator boom. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07488017
Volume :
37
Issue :
4
Database :
Academic Search Index
Journal :
Quality & Reliability Engineering International
Publication Type :
Academic Journal
Accession number :
150295495
Full Text :
https://doi.org/10.1002/qre.2808