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Analysis of Displacement Field of Shallow Buried Biased Tunnel with Small Clear Distance
The geological conditions and rock formations used to build tunnels are often complex. Therefore, in order to ensure the safety of construction, it is very important to analyze the stability of surrounding rock in advance. In this paper, based on the tunnel process, the monitoring data are analyzed firstly. The variation law of tunnel vault settlement and horizontal convergence is obtained. Secondly, the numerical simulation method is used to simulate the construction process of shallow buried tunnel with bias and small clear distance. The interaction between the construction of left and right tunnel and the distribution characteristics of surrounding rock displacement field are obtained. Finally, the simulation results are compared with the monitoring data. The simulated values are smaller than the monitored values on the whole, but the overall variation rule is basically the same.
Analysis of Displacement Field of Shallow Buried Biased Tunnel with Small Clear Distance
The geological conditions and rock formations used to build tunnels are often complex. Therefore, in order to ensure the safety of construction, it is very important to analyze the stability of surrounding rock in advance. In this paper, based on the tunnel process, the monitoring data are analyzed firstly. The variation law of tunnel vault settlement and horizontal convergence is obtained. Secondly, the numerical simulation method is used to simulate the construction process of shallow buried tunnel with bias and small clear distance. The interaction between the construction of left and right tunnel and the distribution characteristics of surrounding rock displacement field are obtained. Finally, the simulation results are compared with the monitoring data. The simulated values are smaller than the monitored values on the whole, but the overall variation rule is basically the same.
Analysis of Displacement Field of Shallow Buried Biased Tunnel with Small Clear Distance
Gong, Jianwu (author) / Zhang, Chao (author)
2021-11-06
884413 byte
Conference paper
Electronic Resource
English
| European Patent Office | 2023