A multi-fidelity physics-informed machine learning framework for probabilistic low-cycle fatigue life prediction of shot-peened materials

International Journal of Fatigue 2026

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Authors: Zhou ZhiChun, Dianyin Hu, Jianxing Mao, Huanhuan Chen, Xi Liu, Sanfeng Xin, Liucheng Zhou, Xiao Su, Rongqiao Wang

DOI: 10.1016/j.ijfatigue.2026.109775

Cited by: 8

References: 34

Fields of Study & Subjects

Fatigue and fracture mechanics High Temperature Alloys and Creep Mechanical Behavior of Composites

References 34