Abstract
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 (TDISC) 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 TDISC can effectively locate the damage of the tunnel structure and has good robustness.
Highlights
With the continuous expansion of the scale of cities, the size of subways are increasing and playing an increasingly important role in urban public transportation
Manual observation requires a lot of manpower and is difficult to adapt to the ever-increasing scale of operation and maintenance tasks
Automatic sensor monitoring is fixing sensors on the tunnel structure, which can only be arranged in a small amount in a partial section, as the cost is too high if it is arranged down the whole line of the tunnel
Summary
With the continuous expansion of the scale of cities, the size of subways are increasing and playing an increasingly important role in urban public transportation. Using the energy spectrum of the acceleration response signal, they proposed two early warning indicators for health monitoring and verified the validity of the proposed warning indicators with the measured data of the Wangzong tunnel in Wuhan Metro Line 3 These dynamic monitoring methods can make up for the shortcomings of traditional static monitoring which only consider the apparent diseases of the tunnel, they are still methods that fix the sensors on the structure, and it is difficult to arrange the entire line in the tunnel. Yang et al Through tried to install the of the by using the vehicle’sofvertical numerical sensor on a moving train [29,30,31,32] They proposed a method to extract the natural frequency simulation and field experiments, they verified that the use of EMD, VMD, and band-pass of the bridge by using vehicle’s acceleration. On the dynamic response of the train and to verify it through numerical and model tests
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