School of Civil Engineering, Tongji University, Shanghai 200092, China.
Key Laboratory of Geotechnical and Underground Engineering, Ministry of Education, Tongji University, Shanghai 200092, China.
Sensors (Basel). 2021 Oct 29;21(21):7197. doi: 10.3390/s21217197.
As an important part of urban rail transit, subway tunnels play an important role in alleviating traffic pressure in mega-cities. Identifying and locating damage to the tunnel structure as early as possible has important practical significance for maintaining the long-term safe operation of subway tunnels. Summarizing the current status and shortcomings of the structural health monitoring of subway tunnels, a very economical and effective monitoring program is proposed, which is to use the train vibration response to identify and locate the damage of the tunnel structure. Firstly, the control equation of vehicle-tunnel coupling vibration is established and its analytical solution is given as the theoretical basis of this paper. Then, a damage index based on the cumulative sum of wavelet packet energy change rate () is proposed, and its process algorithm is given. Through the joint simulation of VI-Rail and ANSYS, a refined 3D train-tunnel coupled vibration model is established. In this model, different combined conditions of single damage and double damage verify the validity of the damage index. The effectiveness of this damage index was further verified through model tests, and the influence of vehicle speed and load on the algorithm was discussed. Numerical simulation and experimental results show that the can effectively locate the damage of the tunnel structure and has good robustness.
作为城市轨道交通的重要组成部分，地铁隧道在缓解特大城市交通压力方面发挥着重要作用。尽早识别和定位隧道结构的损伤对维护地铁隧道的长期安全运行具有重要的实际意义。总结了地铁隧道结构健康监测的现状和不足，提出了一种非常经济有效的监测方案，即利用列车振动响应来识别和定位隧道结构的损伤。首先，建立了车隧耦合振动的控制方程，并给出了其解析解，作为本文的理论基础。然后，提出了一种基于小波包能量变化率累积和的损伤指标，并给出了其处理算法。通过 VI-Rail 和 ANSYS 的联合仿真，建立了一个精细化的 3D 车隧耦合振动模型。在该模型中，不同的单损伤和双损伤组合情况验证了损伤指标的有效性。通过模型试验进一步验证了该损伤指标的有效性，并讨论了车速和荷载对算法的影响。数值模拟和实验结果表明，该损伤指标能够有效地定位隧道结构的损伤，具有良好的鲁棒性。
