Crack propagation simulation and overload fatigue life prediction via enhanced physics-informed neural networks-Reference-Cited by-同舟云学术

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Crack propagation simulation and overload fatigue life prediction via enhanced physics-informed neural networks

Published:2024-09 Issue: Volume:186 Page:108382
ISSN:0142-1123
Container-title:International Journal of Fatigue
language:en
Short-container-title:International Journal of Fatigue

Author:

Chen Zhiying,Dai Yanwei^ORCID,Liu Yinghua

Publisher

Elsevier BV

Reference71 articles.

1. Stephens RI, Fatemi A, Stephens RR, Fuchs H. Metal fatigue in engineering 2000. John Wiley & Sons.

2. Anderson TL. Fracture mechanics: fundamentals and applications 2017. CRC press.

3. Numerical prediction based on XFEM for mixed-mode crack growth path and fatigue life under cyclic overload;Chen;Int J Fatigue,2022

4. Numerical study on high-cycle fatigue crack growth of sinusoidal interface based on cyclic cohesive zone model;Chen;Int J Fatigue,2023

5. Life prediction of corrosion-fatigue based on a new crack growth rate model with damage and the extended finite element method;Chen;Eng Fract Mech,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive Analysis of Crack Growth in Bearings via Neural Networks;Machines;2024-09-01

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