Prediction of 316 stainless steel low-cycle fatigue life based on machine learning

The low-cycle fatigue life of 316 stainless steel is a significant basis for safety assessment. Usually, many factors affect the low-cycle fatigue life of stainless steel, and the relationship between the influencing factors and fatigue life is complicated and nonlinear. Therefore, it is hard to pre...

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Detalles Bibliográficos
Autores principales: Duan, Hongyan, Cao, Mengjie, Liu, Lin, Yue, Shunqiang, He, Hong, Zhao, Yingjian, Zhang, Zengwang, liu, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130168/
https://www.ncbi.nlm.nih.gov/pubmed/37185593
http://dx.doi.org/10.1038/s41598-023-33354-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130168/
https://www.ncbi.nlm.nih.gov/pubmed/37185593
http://dx.doi.org/10.1038/s41598-023-33354-1

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