Abstract
Investigating the micro-parameters of rock is vital for understanding the macro-properties of rock, such as the uniaxial compressive strength (UCS), Young’s modulus, failure patterns, etc. In this paper, based on the experimental results of rock material, a parallel-bond model in three-dimensional particle flow code (PFC3D) was applied to investigate the effects of the joint action of bond stiffness ratio and bond stress ratio on macro-properties of rock. The uniaxial compressive strength, stress–strain relationships, and failure characteristics, as well as underlying compression and failure mechanisms, in the process of parameter calibration, were systematically studied. The results indicated that the interaction of several micro-parameters would obviously change the response characteristics of the macro-properties of the model. The mechanism of the effects of various micro-parameters on the macro-properties of the model was further revealed. The change of the micro-parameters would change the strength and stress state of the bond between particles. The research results could promote the understanding of the failure mechanism of rock and improve the efficiency of micro-parameter calibration and the accuracy of calibration results.
Highlights
The discrete element method (DEM) was first introduced by Cundall in 1971 [1]
The DEM has been widely applied in fields, such as mining and geotechnical engineering [2,3,4,5,6,7,8,9]
The Particle flow code (PFC) is convenient for dealing with problems in non-continuous media and can effectively simulate non-continuous phenomena, which has greatly aided research into the damage, fracture evolution, and failure mechanism of rocks [10,11,12,13,14]
Summary
The discrete element method (DEM) was first introduced by Cundall in 1971 [1]. Since this time, the DEM has been widely applied in fields, such as mining and geotechnical engineering [2,3,4,5,6,7,8,9]. The first step in a PFC simulation is to select rational micro-parameters according to the material macro-responses. The accuracy of the simulation results depends on the selection of micro-parameters [15,16]. Potyondy and Cundall [17] analyzed the sensitivity of the results of biaxial, triaxial, and Brazilian splitting tests of the PFC model to micro-parameters
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