Prediction and Analysis of Fatigue Life of Power Installation Tools Based on Improved Particle Swarm Optimization
Author:
Affiliation:
1. State Grid Lanzhou Power Supply Company,Lanzhou,Gansu,China,730070
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10592114/10592115/10592281.pdf?arnumber=10592281
Reference10 articles.
1. Discussions on the Prediction of Fatigue Life of Mechanical Structure and the Reliability Method
2. Stress Analysis and Fatigue Life Prediction of Pseudoelastic NiTi Shape Memory Alloy Tapered Stress Joint via Finite Element Method;Kim,2017
3. Vibration Fatigue Probabilistic Life Prediction Model and Method for Blade;Lou;Journal of Nanjing University of Aeronautics and Astronautics (English version),2018
4. Stress-strain state analysis and fatigue prediction of D16T alloy in the stress concentration zone under combined tension-torsion load
5. Multiaxial fatigue life prediction of composite materials
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