Structural Engineering and Mechanics

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Reliability-based assessment of high-speed railway subgrade defect

  • Feng, Qingsong (Engineering Research Center of Railway Environment Vibration and Noise, Ministry of Education, East China Jiao Tong University) ;
  • Sun, Kui (Engineering Research Center of Railway Environment Vibration and Noise, Ministry of Education, East China Jiao Tong University) ;
  • Chen, Hua-peng (Engineering Research Center of Railway Environment Vibration and Noise, Ministry of Education, East China Jiao Tong University)
  • Received : 2020.08.27
  • Accepted : 2020.10.18
  • Published : 2021.01.25
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Abstract

In this paper, a dynamic response mapping model of the wheel-rail system is established by using the support vector regression (SVR) method, and the hierarchical safety thresholds of the subgrade void are proposed based on the reliability theory. Firstly, the vehicle-track coupling dynamic model considering the subgrade void is constructed. Secondly, the subgrade void area, the subgrade compaction index K30 and the fastener stiffness are selected as random variables, and the mapping model between these three random parameters and the dynamic response of the wheel-rail system is built by using the orthogonal test and the SVR. The sensitivity analysis is carried out by the range analysis method. Finally, the hierarchical safety thresholds for the subgrade void are proposed. The results show that the subgrade void has the most significant influence on the carbody vertical acceleration, the rail vertical displacement, the vertical displacement and the slab tensile stress. From the range analysis, the subgrade void area has the largest effect on the dynamic response of the wheel-rail system, followed by the fastener stiffness and the subgrade compaction index K30. The recommended safety thresholds for the subgrade void of level I, II and III are 4.01㎡, 6.81㎡ and 9.79㎡, respectively.

Keywords

Acknowledgement

The authors are very grateful for the financial support received from the National Natural Science Foundation of China (Grant Nos. 51668020 and 51878277) and the Key R & D Plan of Jiangxi Province (Grant No. 20192BBE50008).

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