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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
刊名MATERIALS RESEARCH EXPRESS
2022-07-01
卷号9期号:7
关键词304 stainless steel low cycle fatigue BP neural network genetic algorithm life prediction
DOI10.1088/2053-1591/ac7cc0
英文摘要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.
WOS研究方向Materials Science
语种英语
出版者IOP Publishing Ltd
WOS记录号WOS:000828872300001
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/159436]  
专题机电工程学院
作者单位Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou, Peoples R China
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).
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