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Author

Debiao Meng

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Sep 2026

Assessment Of Fatigue Crack Propagation Life Based On Physics-Informed Neural Networks Under Ensemble Learning In Hydrogen Environments

Hydrogen storage and transport systems use pipeline steel, where hydrogen embrittlement accelerates fatigue crack propagation and reduces service life. Accurate life evaluation is necessary for safe operation. Conventional approaches experimental fatigue testing, finite-element simulation, and empirical laws such as...

De-Biao Meng, Muhammad Umar Khan, Hua-Xi Wu et al. · 0 citations
Open access Jul 2026

Time-Variant Reliability Analysis via Copula Failure Correlation and Advanced Kriging

In practical engineering, mechanical structures are affected by time-dependent uncertainties and by correlated failure modes. This study proposes an enhanced time-variant reliability analysis framework by coupling a mixed Archimedean Copula model with an adaptive Kriging model driven by the maximum expected prediction...

Debiao Meng, Huaxi Wu, Muhammad Umar Khan et al. · 0 citations

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