<p>This article explores the fatigue load model and the analysis of fatigue life. A random load model framework is established. The load model is developed using the Track-Performance-Detection System (TPDS) data of a railway steel truss bridge that has been operational for 68&#xa0;years. Firstly, the TPDS data were analysed to determine the fundamental parameters of the load model, encompassing train type, locomotive, carriage, and speed. Secondly, the statistical distribution function of each parameter is established, and the complete vehicle load model is obtained. Then, the load model is applied to the Xiangtan Xiangjiang River bridge, and the dynamic stress history is simulated by Monte Carlo method combined with finite element method. Finally, the fatigue life of the component is estimated based on the fatigue cumulative damage theory. The study utilizes empirical data to construct a load model, making it highly suitable for the fatigue assessment of older steel bridges. Additionally, it can serve as a valuable reference for bridge design.</p>

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Fatigue load model of railway steel bridges based on the track-performance-detection system

  • Xin Xiao

摘要

This article explores the fatigue load model and the analysis of fatigue life. A random load model framework is established. The load model is developed using the Track-Performance-Detection System (TPDS) data of a railway steel truss bridge that has been operational for 68 years. Firstly, the TPDS data were analysed to determine the fundamental parameters of the load model, encompassing train type, locomotive, carriage, and speed. Secondly, the statistical distribution function of each parameter is established, and the complete vehicle load model is obtained. Then, the load model is applied to the Xiangtan Xiangjiang River bridge, and the dynamic stress history is simulated by Monte Carlo method combined with finite element method. Finally, the fatigue life of the component is estimated based on the fatigue cumulative damage theory. The study utilizes empirical data to construct a load model, making it highly suitable for the fatigue assessment of older steel bridges. Additionally, it can serve as a valuable reference for bridge design.