Damage mechanics based probabilistic high‐cycle fatigue life prediction for Al 2024‐T3 using non‐intrusive polynomial chaos
Author:
Affiliation:
1. School of Aeronautical EngineeringZhengzhou University of Aeronautics Zhengzhou 450046 China
2. School of Aeronautics, Northwestern Polytechnical University Xi'an 710072 China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ffe.13234
Reference29 articles.
1. A study of nucleation and fatigue behavior of an aerospace aluminum alloy 2024-T3
2. Interactive creep-fatigue crack growth of 2024-T3 Al sheets: selective transitional functions
3. Rapid evaluation for high-cycle fatigue reliability of metallic materials through quantitative thermography methodology
4. A state-of-the-art review on fatigue life prediction methods for metal structures
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