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Author:

Zhong, Kangming (Zhong, Kangming.) | Li, Xiaojun (Li, Xiaojun.) (Scholars:李小军) | Zhou, Zhenghua (Zhou, Zhenghua.)

Indexed by:

Scopus SCIE

Abstract:

The study of dynamic responses and operational safety of high-speed trains under seismic excitation has increasingly relied on numerical simulation as the most effective and convenient research approach. The majority of studies only focus on single-car formation, and fewer utilize train models with actual standard formation, inevitably resulting in differences in dynamic characteristics of train models and simulation results. Furthermore, trains also have different standard formations in different countries and operating scenarios. Therefore, the influences of train formation on the dynamic responses and operational safety of trains under seismic action are investigated. Hence, a detailed train/vehicle-track coupled dynamics model was established to simulate trains under non-uniform seismic ground motion. Moreover, due to wheel-rail contact simulation being the key factor constraining simulation efficiency, based on the influence pattern of train formation, whether fewer train formations can achieve the same simulation accuracy as the 8-car standard formation is also explored in this paper considering seismic wave propagation effect. Results indicate that variation in train formation can influence the dynamic responses of a coupled system significantly from both the perspective of wheel-rail interaction and vehicle kinematic responses. Moreover, the 5-car formation model can better meet the accuracy requirement and significantly improve computational efficiency compared to 8-car formation model.

Keyword:

seismic wave propagation effect train/vehicle-track coupled dynamics model numerical simulation train formation wheel-rail interaction

Author Community:

  • [ 1 ] [Zhong, Kangming]Beijing Univ Technol, Natl Key Lab Bridge Safety & Resilience, Beijing 100124, Peoples R China
  • [ 2 ] [Li, Xiaojun]Beijing Univ Technol, Natl Key Lab Bridge Safety & Resilience, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Xiaojun]Inst Disaster Prevent, Sanhe 065201, Peoples R China
  • [ 4 ] [Zhou, Zhenghua]Nanjing Tech Univ, Coll Transportat Engn, Nanjing 211816, Peoples R China

Reprint Author's Address:

  • [Li, Xiaojun]Beijing Univ Technol, Natl Key Lab Bridge Safety & Resilience, Beijing 100124, Peoples R China;;[Li, Xiaojun]Inst Disaster Prevent, Sanhe 065201, Peoples R China;;

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Source :

SYMMETRY-BASEL

Year: 2024

Issue: 7

Volume: 16

2 . 7 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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