Prediction model of low cycle fatigue life of 304 stainless steel based on genetic algorithm optimized BP neural network

doi:10.1088/2053-1591/ac7cc0

IR > 机电工程学院

	Prediction model of low cycle fatigue life of 304 stainless steel based on genetic algorithm optimized BP neural network
	Cao, Mengjie; Duan, Hongyan; He, Hong; Liu, Yang; Yue, Shunqiang; Zhang, Zengwang; Zhao, Yingjian
	2022-07-01
发表期刊	MATERIALS RESEARCH EXPRESS
卷号	9 期号:7
摘要	The low cycle fatigue life of 304 stainless steel is an essential basis for safety assessment. Usually, there is a complex nonlinear relationship between fatigue life and influencing factors, which is difficult to be predicted by traditional fatigue life models. Based on this, the BP algorithm and genetic optimization algorithm (GA) for the fatigue life prediction problem of 304 stainless steel is proposed. Based on the existing large amount of test data, the fatigue life of 304 stainless steel material is predicted by using BP and GA-BP learning models. The results show that the GA-BP prediction model is more flexible, the correlation coefficient R reaches 0.98158, the prediction data are within the 2 times error limit and closer to the ideal line, and the model prediction is better.
关键词	304 stainless steel low cycle fatigue BP neural network genetic algorithm life prediction
DOI	10.1088/2053-1591/ac7cc0
收录类别	SCIE ; EI
语种	英语
WOS研究方向	Materials Science
WOS类目	Materials Science, Multidisciplinary
WOS记录号	WOS:000828872300001
出版者	IOP Publishing Ltd
EI入藏号	20223112526310
EI主题词	Genetic algorithms
EI分类号	545.3 Steel ; 951 Materials Science
来源库	WOS
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/159436
专题	机电工程学院
通讯作者	Cao, Mengjie
作者单位	Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Cao, Mengjie,Duan, Hongyan,He, Hong,et al. Prediction model of low cycle fatigue life of 304 stainless steel based on genetic algorithm optimized BP neural network[J]. MATERIALS RESEARCH EXPRESS,2022,9(7).
APA	Cao, Mengjie.,Duan, Hongyan.,He, Hong.,Liu, Yang.,Yue, Shunqiang.,...&Zhao, Yingjian.(2022).Prediction model of low cycle fatigue life of 304 stainless steel based on genetic algorithm optimized BP neural network.MATERIALS RESEARCH EXPRESS,9(7).
MLA	Cao, Mengjie,et al."Prediction model of low cycle fatigue life of 304 stainless steel based on genetic algorithm optimized BP neural network".MATERIALS RESEARCH EXPRESS 9.7(2022).