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Back Analysis and Numerical Simulation of Surrounding Rock Parameters of Tunnel Close Construction Based on PSO-BP Algorithm
In the twenty-first century, the utilization of urban pavement resources in China tends to be saturated, and a large number of metros have been built in various cities to slow down the traffic volume. However, due to the shallow buried depth of the subway, it is sensitive to the excavation disturbance of the soil. The ground subsidence may be more serious during the excavation process, and the surrounding original buildings will also be affected by the subway construction, which will lead to the settlement. Therefore, it is necessary to ensure the stability of the original buildings while building a new subway tunnel. But in the actual project, Usually according to the mechanical parameters of tunnel surrounding rock, the excavation method of subway construction and the material parameters of supporting structure are determined. However, rock mass is a kind of heterogeneous, nonlinear and discontinuous material. How to obtain accurate mechanical parameters in a simple and efficient way is particularly important. By obtaining the mechanical parameters of surrounding rock, it can accurately predict and take corresponding measures to control the construction. The settlement value is of guiding significance to the actual construction. According to the principle of orthogonal test design, the range method and variance method are used to analyze the influence of various test factors on the displacement and settlement value of surrounding rock. The results show that the elastic modulus is the main influencing factor compared with other factors. Selecting the range of physical and mechanical parameters of rock mass, constructing the back analysis learning samples of displacement, using BP neural network algorithm and PSO-BP algorithm to calculate, comparing and analyzing the test value and learning value, using self verification method, the PSO-BP algorithm has smaller error and better prediction ability.
Back Analysis and Numerical Simulation of Surrounding Rock Parameters of Tunnel Close Construction Based on PSO-BP Algorithm
In the twenty-first century, the utilization of urban pavement resources in China tends to be saturated, and a large number of metros have been built in various cities to slow down the traffic volume. However, due to the shallow buried depth of the subway, it is sensitive to the excavation disturbance of the soil. The ground subsidence may be more serious during the excavation process, and the surrounding original buildings will also be affected by the subway construction, which will lead to the settlement. Therefore, it is necessary to ensure the stability of the original buildings while building a new subway tunnel. But in the actual project, Usually according to the mechanical parameters of tunnel surrounding rock, the excavation method of subway construction and the material parameters of supporting structure are determined. However, rock mass is a kind of heterogeneous, nonlinear and discontinuous material. How to obtain accurate mechanical parameters in a simple and efficient way is particularly important. By obtaining the mechanical parameters of surrounding rock, it can accurately predict and take corresponding measures to control the construction. The settlement value is of guiding significance to the actual construction. According to the principle of orthogonal test design, the range method and variance method are used to analyze the influence of various test factors on the displacement and settlement value of surrounding rock. The results show that the elastic modulus is the main influencing factor compared with other factors. Selecting the range of physical and mechanical parameters of rock mass, constructing the back analysis learning samples of displacement, using BP neural network algorithm and PSO-BP algorithm to calculate, comparing and analyzing the test value and learning value, using self verification method, the PSO-BP algorithm has smaller error and better prediction ability.
Back Analysis and Numerical Simulation of Surrounding Rock Parameters of Tunnel Close Construction Based on PSO-BP Algorithm
Advs in Intelligent Syst., Computing
Huang, Chuanchao (editor) / Chan, Yu-Wei (editor) / Yen, Neil (editor) / Chen, Yang (author)
2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems ; Chapter: 157 ; 1237-1243
2021-06-02
7 pages
Article/Chapter (Book)
Electronic Resource
English
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