[en] A 3D train-track-tunnel-soil (TTTS) coupled dynamics model is developed in the time domain, where the spatial dynamic interactions between the subsystems can be characterized and captured. In the model, the tunnel-soil subsystem is modeled using the semi-analytic cylindrical layer elements to improve computational efficiency, while spatial track/tunnel dynamic interactions are employed to couple the tunnel-soil and train-track subsystems. After being verified by in-situ tests under hammer impact load and train dynamic load, the developed TTTS model is employed to investigate the tunnel-soil subsystem dynamic responses caused by trains moving on straight and curved railways, which have not been adequately addressed in previous research. Results demonstrate that the developed TTTS model can more realistically and efficiently simulate the dynamic responses of tunnel and soil induced by moving trains, particularly in cases involving curved railways.
Disciplines :
Civil engineering
Author, co-author :
Yang, Jianjin ; College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China ; Train and Track Research Institute, State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China
Zhu, Shengyang; Train and Track Research Institute, State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China
Xu, Lei; School of Civil Engineering, Central South University, Changsha, China
Kouroussis, Georges ; Université de Mons - UMONS > Faculté Polytechnique > Service de Mécanique rationnelle, Dynamique et Vibrations
Li, Qiuyi; China Railway Siyuan Survey and Design Group, Wuhan, China
Zhai, Wanming; Train and Track Research Institute, State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China
Language :
English
Title :
A 3D train-track-tunnel-soil coupled dynamics model based on semi-analytical cylindrical layer element
F703 - Mécanique rationnelle, Dynamique et Vibrations
Research institute :
R500 - Institut des Sciences et du Management des Risques
Funding text :
This research was supported by the National Natural Science Foundation of China (Grant No. 52208446 and 52388102 ), Natural Science Foundation of Sichuan Province (Grant No. 2022NSFSC1871 ), the China Postdoctoral Science Foundation (Grant No. 2021M692686 ), the Fundamental Research Funds for the Central Universities (Grant No. 2682023CX059 ), and the project from China Railway Siyuan Survey and Design Group (Grant No. 2021K083 ).
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