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 |
DOI | 10.1088/2053-1591/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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