DOI QR코드

DOI QR Code

Evaluation of optimal ground motion intensity measures of high-speed railway train running safety on bridges during earthquakes

  • Liu, Xiang (School of Civil Engineering, Fujian University of Technology) ;
  • Jiang, Lizhong (School of Civil Engineering, Central South University) ;
  • Xiang, Ping (School of Civil Engineering, Central South University) ;
  • Feng, Yulin (School of Civil Engineering and Architecture, East China Jiaotong University) ;
  • Lai, Zhipeng (School of Civil Engineering, Central South University) ;
  • Sun, Xiaoyun (Nanjing Vocational Institute of Transport Technology)
  • 투고 : 2021.04.02
  • 심사 : 2021.10.22
  • 발행 : 2022.01.25

초록

Due to the large number of railway bridges along China's high-speed railway (HSR) lines, which cover a wide area with many lines crossing the seismic zone, the possibility of a HSR train running over a bridge when an earthquake occurs is relatively high. Since the safety performance of the train will be threatened, it is necessary to study the safety of trains running over HSR bridges during earthquakes. However, ground motion (GM) is highly random and selecting the appropriate ground-motion intensity measures (IMs) for train running safety analysis is not trivial. To deal this problem, a model of a coupled train-bridge system under seismic excitation was established and 104 GM samples were selected to evaluate the correlation between 16 different IMs and train running safety over HSR bridges during earthquakes. The results show that spectral velocity (SvT1) and displacement (SdT1) at the fundamental period of the structure have good correlation with train running safety for medium-and long-period HSR bridges, and velocity spectrum intensity (VSI) and Housner intensity (HI) have good correlation for a wide range of structural periods. Overall, VSI and HI are the optimal IMs for safety analysis of trains running over HSR bridges during earthquakes. Finally, based on VSI and HI, the IM thresholds of an HSR bridge at different speed were analyzed.

키워드

과제정보

The work described in this paper was supported by the National Natural Science Foundation of China (U1934207, 11972379), the Key R&D Program of Hunan Province (2020SK2060), innovation-driven project of Central South University (502045006, 502390001, 502501006), Project of Jiangxi Provincial Education Department (GJJ200657), and Natural Science Foundation of the Jiangsu Higher Education Institutions of China (1) Fujian University of Technology (GY-Z21181) (2) State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure(HJGZ20212009) (18KJB560010).

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