Rock and soil mechanics model parameter inversion method based on computational intelligence

The optimal estimation of geotechnical mechanics model parameters is observed by comparing the difference of the model of information data and the theoretical model. Parameter inversion method based on gradient search method drawback is that there is no guarantee that the search to the global optimal solution, the main reason of which lies in the existence of observation error and model error. By defining the objective function, the parameters identification inverse problem into optimization problem. A numerical example and the engineering practical application results show that the established parameter inversion method based on computational intelligence has good robustness and global convergence properties.