Numerical Simulation Analysis of Highway Tunnel Excavation Based on Artificial Intelligence Algorithm

Abstract

In the numerical simulation of highway tunnel excavation, it is difficult to calculate the yield criterion of rock and soil in traditional calculation, which leads to the lack of individual parameters in the final numerical simulation results, resulting in the low overall stability of tunnel deep foundation section, rebound rate of deep foundation pit bottom and limit equilibrium rate of supporting pile. Therefore, a numerical simulation analysis method of highway tunnel excavation based on artificial intelligence algorithm is proposed. Firstly, the damage stage method is used to confirm the surrounding rock pressure parameters. After confirming the stability of the surrounding rock, the seismic factors of the highway tunnel are considered to determine the buried depth of the tunnel. The yield function is used to calculate the yield criterion of geotechnical materials. Finally, the artificial intelligence algorithm is used for numerical simulation. The simulation results show that the overall stability of the tunnel deep foundation section, the rebound rate of the deep foundation pit bottom and the limit equilibrium rate of the supporting pile are high.