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.
underground engineering fluid-solid coupling parameter identification particle swarm optimization Fast Lagrangian Analysis of Continua(FLAC)
JIANG Annan BAO Chunyan
Traffic and Logistics College, Dalian Maritime University, Dalian, Liaoning, China, 116026 School of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian, Liaoning, China,
国际会议
成都
英文
670-675
2010-10-10（万方平台首次上网日期，不代表论文的发表时间）