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Research on structural life prediction based on physics-informed neural network
Special Issue on Autonomous Safety Assurance and Intelligent Operation and Maintenance of Rail Transit | 更新时间：2026-02-24

    • Research on structural life prediction based on physics-informed neural network

    • “The integrity and safety of structural materials for high-speed trains are crucial. Experts propose a new method for predicting structural lifespan based on Physical Information Neural Network (PINN), which breaks through the limitations of traditional neural networks, significantly improves prediction accuracy and credibility, and opens up new directions for the field of structural health monitoring.”
    • Electric Drive for Locomotives   Issue 5, Pages: 52-62(2025)

    • DOI：10.13890/j.issn.1000-128X.2025.05.006    

      CLC： U292.91+4;U270.4

    • Received：03 March 2025，

      Revised：2025-07-28，

      Published：10 September 2025

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  • XU Yunfei, PENG Chang, WANG Guangjun. Research on structural life prediction based on physics-informed neural network[J]. Electric drive for locomotives,2025(5): 52-62. DOI：10.13890/j.issn.1000-128X.2025.05.006.

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