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Author

Yang Liu

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Oct 2026

A Physics‐Informed Machine Learning Model for Predicting Fatigue Delamination Growth With Fiber Bridging‐Defined Confidence Intervals in Composite Laminates

In fatigue delamination growth (FDG), for different fiber bridging intensity and load ratios ( R ‐ratios), the Paris‐type law on FDG rate ( da/dN ) is formulated using strain energy release rate ( SERR ) on the crack tip Δ√ G tip and effective SERR Δ√ G eff as similitude parameters. The resulting da/...

Jie-Xiong Wang, Liao-Jun Yao, Yang Liu et al. · 0 citations

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