Open AccessReliability analysis of boom of new lifting equipment based on improved wolf swarm algorithm
Author(s) -
Guan Huashen,
Tang Bo,
Zhou Xiangman,
Tan Haoxin,
Liang Zhuwei,
Li Ye,
Sun Guofu,
Zhang Junjie
Publication year - 2023
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/tje2.12202
Subject(s) - reliability (semiconductor) , computer science , mathematical optimization , computation , finite element method , algorithm , monte carlo method , particle swarm optimization , mathematics , engineering , power (physics) , statistics , physics , structural engineering , quantum mechanics
Aiming at the low accuracy or inability to solve the problem when the traditional reliability optimization method deals with the practical engineering reliability analysis problem, this paper proposes a structural reliability analysis method using the improved wolf swarm algorithm (IWSA). Firstly, the reliability optimization mathematical model is established with the minimum reliability index as the objective function and the limit state equation as the equality constraint. Then the augmented multiplier method is used to transform the constrained optimization mathematical model into an unconstrained optimization mathematical model. Finally, IWSA is used to solve the problem. The proposed method is applied to a numerical example and an engineering example. The computation results of the proposed method in solving the numerical example are compared with the Monte Carlo simulation (MCS), which verifies that the proposed method in this paper has good calculation accuracy. The maximum deformation under the working condition is used as the target to establish a limit state function, and the reliability index is obtained by the proposed method combining with the finite element analysis software, which provides a certain theoretical guiding significance for the reliability analysis of engineering structures.