Multi-objectives Optimization Design of A-type Frame in an Electric Mining Dump Truck Considering Multi-Source Uncertainties Based on the Interval Method

Autor:	Qishui Yao, Chengji Mi, Zhengshun Ni, Mingzu Ming, Zhonglin Huang, Dong Zhang, Di Kang, Wentai Li
Rok vydání:	2021
Předmět:	Mathematical optimization Optimization problem Computer science medicine.medical_treatment Frame (networking) Genetic algorithm medicine Sorting Interval (mathematics) Traction (orthopedics) Condensed Matter Physics Fuzzy logic Reliability (statistics)
Zdroj:	Mechanics. 27:168-174
ISSN:	2029-6983 1392-1207
Popis:	In order to improve fuzzy fatigue reliability and make weight reduction of A-type frame in an electric mining dump truck considering multi-source uncertainties from design, manufacturing and use stage, a multi-objectives optimization method based on the interval theory was proposed in this paper. The thickness of four steel plates in welded A-type frame was regarded as certain design variables, while the elastic modulus and density of material was considered as uncertain variables as well as the load at front traction joint. The relationship between optimization objectives and variables was constructed by the response surface method, and was transformed by the interval method. Then, the optimization problem was solved by the non-dominated sorting genetic algorithm, which was found that the fuzzy fatigue reliability reached up to 98.45 % at the expense of some weight.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4067d2c36b62b814b656b7992e528f0d https://doi.org/10.5755/j02.mech.24939 Zobrazit plný text záznamu Plný text ve formátu PDF