Machine learning‐based genetic feature identification and fatigue life prediction
Author:
Affiliation:
1. School of Chemical Engineering and Technology Tianjin University Tianjin China
2. Tianjin Key Laboratory of Chemical Process Safety and Equipment Technology Tianjin China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
Wiley
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ffe.13532
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4. A PATH-INDEPENDENT PARAMETER FOR FATIGUE UNDER PROPORTIONAL AND NON-PROPORTIONAL LOADING
5. A CRITICAL PLANE APPROACH TO MULTIAXIAL FATIGUE DAMAGE INCLUDING OUT-OF-PHASE LOADING
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