Abstract
The microparameter calibration of the particle flow parallel bond model (PBM) is mostly based on a uniaxial compression test. The microparameters calibrated only by uniaxial compression tests cannot be directly used to study the mechanical properties of rocks with surrounding pressure conditions. To analyze the relationship between the macroparameters and microparameters in the model and select appropriate particle flow model parameters, this study conducted a particle flow numerical simulation experiment based on the basic test principles of the uniaxial compression, Brazilian splitting, and triaxial compression tests. An orthogonal experimental design was performed for the calibration of the microparameters of the particle flow PBM, and multifactor analysis of variance was used to screen out the factors that have a considerable influence on the experimental indicators. Regression analysis was performed on the significant influencing factors and test indicators, and the corresponding linear and nonlinear relationships between the macroparameters and microparameters were obtained. Lastly, the microparameters of the model were determined in accordance with the macroparameters of the mechanical test of the Barun open-pit mine dolomite, and a numerical simulation test was conducted. Simulation test results were consistent with the actual test results, thus providing a basis for a subsequent numerical simulation study on the mechanical properties of dolomite.
Highlights
An orthogonal experiment design uses an orthogonal table to arrange the combination of factors scientifically, thereby reducing the number of experiments and obtaining more reliable experimental results. rough multifactor analysis of variance, the degree of influence of many factors on the test indicators can be evaluated [26]. erefore, this study uses the orthogonal experimental design method to study the relationship of the macroparameters and microparameters of the PFC2D parallel bond model (PBM) and quantifies the parameter correspondence relationship to provide a basis for parameter calibration
(3) microparameters that have a significant effect on the elasticity modulus of the rock, the degree of influence from high to low is bond effective modulus, effective modulus, and bond radius multiplier
(5) e macroscopic variable internal friction angle of rock is mainly affected by the bond friction angle, and the internal friction angle varies with the increase in bond friction angle
Summary
Experimental Study on the Calibration of Microparameters of Dolomite in the Barun Open-Pit Mine on the Basis of the Parallel Bond Model. E microparameter calibration of the particle flow parallel bond model (PBM) is mostly based on a uniaxial compression test. Nardin and Schrefler [9] used a built-in model to simulate uniaxial compression and tensile tests of bonded materials and analyzed the interconnection between the macroparameters and microparameters by the dimensional method. E above studies showed that, by choosing suitable model microparameters, particle discrete elements can simulate uniaxial (triaxial) compression tests and Brazilian splitting tests of rocks, and they are consistent with the results of the actual test. An orthogonal table design numerical simulation test scheme is adopted, and multifactor analysis of variance is combined to study the influence of microparameters on its macroparameters, thereby providing basis for matching the microparameters of the particle flow model. Poisson’s ratio, v e basic mechanical properties of dolomite
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