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CSME 2025/06
Volume 46 No.3
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317-324
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RRT Algorithm for Fatigue Life Prediction of SiC/AL Composites Considering Crack Path
Wen-Ke Li a, Xin-Tian Liu b, Wei-Hao Su a and Wen-Qian Shang a
aGraduate Student, Department of Mechanical Engineering,Shanghai University of Engineering Science, Shanghai, Shanghai 201620, China.
bProfessor, Department of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai, Shanghai 201620, China.
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Abstract:
Fatigue life prediction of metal matrix composites (MMCs) remains a complex task due to their unique crack propagation behaviors, including deflection and branching, which are influenced by the reinforcement matrix. This study employs the Rapidly-exploring Random Tree (RRT) algorithm to simulate crack paths in MMCs and integrates the Maximum Circumferential Stress Criterion to guide path planning. A modified Paris model is proposed to incorporate the effects of crack deflection and branching, capturing the fatigue crack growth rate under cyclic loading. The model accounts for the random distribution of reinforcement particles and their influence on stress intensity factors. Crack propagation paths and fatigue life were simulated, comparison of experimental results indicates that the improved model achieves better performance in fatigue life prediction. This research provides a novel approach to integrating advanced path planning algorithms with fatigue crack growth theories, offering potential applications in structural integrity analysis of MMCs.
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Keywords: composite material, path planning, rapidly-exploring random tree, Fatigue life prediction, fatigue crack growth.
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*Corresponding author; e-mail:
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©
2025
CSME , ISSN 0257-9731
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