TY - JOUR
T1 - In-situ dynamic load testing and high-speed train safety assessment on a railway long-span deck type arch bridge with ballastless track
AU - Zhao, Tianqi
AU - Gou, Hongye
AU - Wang, Junming
AU - Zhang, Ming
AU - Yang, Huaizhi
AU - Wu, Jiaye
AU - Bao, Yi
N1 - Publisher Copyright:
© 2025 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2025
Y1 - 2025
N2 - This study investigates the dynamic characteristic of the Meixi River Bridge, the longest high-speed railway bridge with ballastless track and deck-type reinforced concrete arch, under a running train at different speeds. The testing train speeds varied from 200 km/h to 385 km/h. The bridge was instrumented with different types of sensors to measure accelerations, strains, and dynamic deflections. The measured data were used to identify mode shapes of the bridge. Based on the measurement results, this study assessed the effects of train speed on the vertical and transverse accelerations, strain impact factors, dynamic deflections, derailment coefficient, and wheel unloading rate, which are critical parameters affecting train safety and riding stability. Based on the in-situ measurement data, a train-track-bridge coupled vibration model was established using the finite element method and multi-body dynamics method to investigated the dynamic behavior of the train under different temperatures. The results revealed that extreme high temperatures have significant impacts on driving safety. This study provides in-situ dynamic test data and a new assessment method for promoting the driving safety and operation efficiency of high-speed railway arch bridges.
AB - This study investigates the dynamic characteristic of the Meixi River Bridge, the longest high-speed railway bridge with ballastless track and deck-type reinforced concrete arch, under a running train at different speeds. The testing train speeds varied from 200 km/h to 385 km/h. The bridge was instrumented with different types of sensors to measure accelerations, strains, and dynamic deflections. The measured data were used to identify mode shapes of the bridge. Based on the measurement results, this study assessed the effects of train speed on the vertical and transverse accelerations, strain impact factors, dynamic deflections, derailment coefficient, and wheel unloading rate, which are critical parameters affecting train safety and riding stability. Based on the in-situ measurement data, a train-track-bridge coupled vibration model was established using the finite element method and multi-body dynamics method to investigated the dynamic behavior of the train under different temperatures. The results revealed that extreme high temperatures have significant impacts on driving safety. This study provides in-situ dynamic test data and a new assessment method for promoting the driving safety and operation efficiency of high-speed railway arch bridges.
KW - Arch bridges
KW - dynamic performance
KW - extreme temperatures
KW - field testing
KW - high-speed railway
KW - running safety assessment
KW - train-bridge coupling
UR - https://www.scopus.com/pages/publications/105013457860
UR - https://www.scopus.com/pages/publications/105013457860#tab=citedBy
U2 - 10.1080/15732479.2025.2547352
DO - 10.1080/15732479.2025.2547352
M3 - Article
AN - SCOPUS:105013457860
SN - 1573-2479
JO - Structure and Infrastructure Engineering
JF - Structure and Infrastructure Engineering
ER -