Structural Engineering and Mechanics

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Seismic train-bridge coupled system sensitivity analysis considering random aftershock intensity and residual track deformation

  • Jincheng Tan (School of Civil Engineering, Central South University) ;
  • Manman Chen (Department of Civil Engineering, Guangxi Polytechnic of Construction) ;
  • Xiang Liu (School of Civil Engineering, Central South University) ;
  • Han Zhao (School of Civil Engineering, Central South University) ;
  • Lizhong Jiang (School of Civil Engineering, Central South University) ;
  • Peidong Guo (School of Civil Engineering, Central South University) ;
  • Wangbao Zhou (School of Civil Engineering, Central South University) ;
  • Ping Xiang (School of Civil Engineering, Central South University)
  • Received : 2022.05.02
  • Accepted : 2024.05.07
  • Published : 2024.07.10
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Abstract

After the mainshock, whether the train can be allowed to pass the bridges plays an important role in ensuring the transport of supplies and rescue works for example, in the "12 May" earthquake in China, after evaluation, the bridge was still used for transportation in rescue at a very slow speed, engineers usually evaluate whether the train can pass the bridge safely based on the experience, lacks sufficient calculation basis and does not fully consider the risk caused by aftershocks. To address this issue, this paper comprehensively considers the randomness of track irregularity, the randomness of aftershock intensity and other multiple random sources in train-bridge interaction system (TBIS). The sensitivity of train to various random parameters after earthquake is analyzed from the perspective of probability, the most sensitive random variable in this paper is PGA of aftershocks, both for bridge and trailer car, With the increase of epicentral distance, the sensitivity of PGA will decrease, and correspondingly, for trailer car, the sensitivity of other random variables will increase, research in this paper provides a basis for the subsequent random analysis of post-earthquake driving safety.

Keywords

Acknowledgement

This work was funded by the Henan Province Science and Technology Key Research Project (242102521034), the 2023 Hunan Province Transportation Science and Technology Progress and Innovation Project (202305), Key Scientific Research Project of Hunan Provincial Department of Education, Project (21A0073) and Taishan Program (tsqn202306278).

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