研究论文
Low cycle fatigue and creep–fatigue interaction behavior of 316L(N) stainless steel and life prediction by artificial neural network approach
Venkat Srinivasan
Indira Gandhi Centre for Atomic Research
来源International Journal of Fatigue
年份2003
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工程Fatigue and fracture mechanics
High Temperature Alloys and Creep · Fire effects on concrete materials
参考文献 17
Creep and Creep-Fatigue Intergranular Damage in Austenitic Stainless Steels: Discussion of the Creep-Dominated Regime
被引 32C. Levaillant, J. Grattier, M. Mottot · 1988
Influence of Temperature and Environment on the Fatigue Mechanisms of Single-Crystal and Polycrystal 316L
被引 10J.H. Driver, C Gorlier, C Belrami · 1988
Influence of Nitrogen Solutes and Precipitates on Low Cycle Fatigue of 316L Stainless Steels
被引 20Suzanne Degallaix, Gérard Degallaix, J. Foct · 1988
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引用本文 112
Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods
被引 272Haijie Wang, Bo Li, Jian‐Guo Gong · Engineering Fracture Mechanics · 2023
Fatigue modeling using neural networks: A comprehensive review
被引 256Jie Chen, Yongming Liu · Fatigue & Fracture of Engineering Materials & Structures · 2022
A deep learning based life prediction method for components under creep, fatigue and creep-fatigue conditions
被引 247Xiaocheng Zhang, Jian‐Guo Gong, Fu‐Zhen Xuan · International Journal of Fatigue · 2021
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