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Reliability analysis of excavator boom considering mixed uncertain variables
Author(s) -
Zhang Yuru,
Liu Xintian,
Yu Xueguang,
Wang Xu,
Wang Xiaolan
Publication year - 2021
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2808
Subject(s) - excavator , reliability (semiconductor) , random variable , interval arithmetic , interval (graph theory) , first order reliability method , fuzzy logic , mathematical optimization , mathematics , probabilistic logic , representation (politics) , reliability engineering , computer science , statistics , engineering , structural engineering , artificial intelligence , power (physics) , mathematical analysis , physics , quantum mechanics , combinatorics , bounded function , politics , law , political science
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.