Meso-parameters Calibration of Rock Specimens Based on Flat-Joint Contact Model

Abstract

Based on the design of experiments (DOE) and the response surface method, we studied the mesoscopic parameters calibration for hard rocks in three-dimensional particle flow code (PFC). First, using the range analysis and multivariate analysis of variance, the linear relationship between mesoscopic and macroscopic parameters is established. Then, we used the response surface method to obtain the nonlinear relationship between the mesoscopic parameters and the macroscopic response. Finally, this problem was transformed into a nonlinear multi objective mathematical programming problem, and the genetic algorithm was utilized to solve it. To verify our proposed method, we compared the obtained results with the physical tests. The results show that the error of macroscopic parameters was less than 10%. A computer calibration program interface was developed based on the proposed model. This model and the computer program can be used in the rock calibrations for numerical simulations in the future.