Computational Correlation Shearing Model of Rock Macro–Micro Parameters

The discrete element method (DEM) is widely used for its flexibility in handling a large number of geotechnical problems. To study the relationship between macro–micro parameters during the shear process, a series of rock direct shear tests were carried out by PFC2D in this paper. Firstly, the qualitative influence of main microparameters (particle contact elastic modulus, particle ratio of normal to shear stiffness, particle friction coefficient, parallel bond tensile strength, parallel bond cohesion, and parallel bond friction angle) and normal stress on macroscopic shear parameters were analyzed by simulation results. Subsequently, one-way analysis and multivariate nonlinear regression of the relationship between micro- and macro- parameters were performed, and the quantitative prediction models of the main shear macro-parameters (shear strength, shear stiffness, residual shear strength) were established. Finally, comparing the simulation results with the predicted values of the proposed model, it was found that the predicted values were very close to the simulation results, thus verifying the effectiveness of the model.