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Dynamic analysis of high-speed railway train-bridge system after barge collision

  • Xia, Chaoyi (School of Civil Engineering, Beijing Jiaotong University) ;
  • Ma, Qin (CCCC Highway Consultants Co., Ltd) ;
  • Song, Fudong (School of Civil Engineering, Beijing Jiaotong University) ;
  • Wu, Xuan (School of Civil Engineering, Beijing Jiaotong University) ;
  • Xia, He (School of Civil Engineering, Beijing Jiaotong University)
  • 투고 : 2017.11.16
  • 심사 : 2018.04.13
  • 발행 : 2018.07.10

초록

In this paper, a framework is proposed for dynamic analysis of train-bridge systems with a damaged pier after barge collision. In simulating the barge-pier collision, the concrete pier is considered to be nonlinear-inelastic, and the barge-bow is modeled as elastic-plastic. The changes of dynamic properties and deformation of the damaged pier, and the additional unevenness of the track induced by the change of deck profile, are analyzed. The dynamic analysis model for train-bridge coupling system with a damaged pier is established. Based on the framework, an illustrative case study is carried out with a $5{\times}32m$ simply-supported PC box-girder bridge and the ICE3 high-speed train, to investigate the dynamic response of the bridge with a damaged pier after barge collision and its influence on the running safety of high-speed train. The results show that after collision by the barge, the vibration properties of the pier and the deck profile of bridge are changed, forming an additional unevenness of the track, by which the dynamic responses of the bridge and the car-body accelerations of the train are increased, and the running safety of high-speed train is affected.

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과제정보

연구 과제 주관 기관 : Central Universities of China

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피인용 문헌

  1. Design and Simulation Analysis of a New Type of Assembled UHPC Collision Avoidance vol.10, pp.13, 2020, https://doi.org/10.3390/app10134555
  2. Numerical study of rockfall impact on bridge piers and its effect on the safe operation of high-speed trains vol.17, pp.1, 2021, https://doi.org/10.1080/15732479.2020.1730406