Prediction of fatigue crack growth rate in welded tubular joints using neural network
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science,Modelling and Simulation
Cited by 22 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. Probabilistic fatigue life prediction using multi-layer perceptron with maximum entropy algorithm;International Journal of Fatigue;2024-10
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3. Data-driven artificial neural network for elastic plastic stress and strain computation for notched bodies;Theoretical and Applied Fracture Mechanics;2023-06
4. Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods;Engineering Fracture Mechanics;2023-05
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