- 期刊
Numerical Simulation of Subway Tunnel Based on Random Field Theory
摘要
Based on the fact that rock and soil are not homogeneous materials, the spatial variability and correlation of their parameters should be considered. Introduce a method of simulating and discrete soil parameters to make it closer to the real soil state through random field theory, using the Thunder Bay Tunnel as the background, using random field theory to describe the spatial variability and correlation of parameters. After calculating the random field data by the Cholesky decomposition method, the Abaqus script file is written in Python language to realize the random field dispersion of the center point method. A simple calculation example is carried out and the conclusion is drawn that the simulation results based on the random field theory are closer to the field monitoring data than the conventional numerical simulation; the settlement curve trend obtained from the random field theory simulation is closer to the settlement curve obtained from the field monitoring; The simulation results based on random field theory can better reflect the influence of some weak soil on the tunnel.