Prediction of residual life and critical crack length using the forward/inverse machine learning based on the configurational force fatigue model

International Journal of Fatigue 2026

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Authors: Yingxuan Dong, Ran Liu, Qun Li

DOI: 10.1016/j.ijfatigue.2026.109525

Cited by: 2

References: 39

Fields of Study & Subjects

Fatigue and fracture mechanics Ultrasonics and Acoustic Wave Propagation Numerical methods in engineering

References 39