Fluid-Solid Coupling Parameter Identification of Underground Engineering Based on Particle Swarm Optimization

In view of underground engineering fluid-solid coupling complexity and parameter uncertainty problem, we combine the particle swarm optimization whose order is simple and is with global optimization faculty with Fast Lagrangian Analysis of Continua software(FLAC), and then construct FLAC-PSO numerical simulation method of fluid-solid coupling parameter identification. The method starts from mechanical parameter and random value of seepage parameter of the underground engineering surrounding rock, takes the wall rock displacement and the discrepancy between numerical simulated and actual observed value of character lines or points as fitness value, carry out the evolution of elastic modulus and coefficient of permeability in reason by using particle swarm optimization iteration rule. it is seen from the calculation that such method is an ideal method of fluid-solid coupling parameter identification in underground engineering, as it converges quickly, and is with high identification accuracy.