4.7 Article

Simulation of rock fracture process based on GPU-accelerated discrete element method

期刊

POWDER TECHNOLOGY
卷 377, 期 -, 页码 640-656

出版社

ELSEVIER
DOI: 10.1016/j.powtec.2020.09.009

关键词

Cohesive fracture model (CFM); Discrete element method (DEM); 3D Voronoi tessellation; Graphical processing unit (GPU); Rock mechanics

资金

  1. Natural Science Foundation of China, China [51879142, 51679123, 41941019]
  2. State Key Laboratory of Hydroscience and Engineering, China [2020-KY-04]

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The Discrete Element Method (DEM) is used to study the failure behavior of brittle rock bodies, with a proposed Cohesive Fracture Model (CFM) designed specifically for polyhedral shaped DEM particles. Numerical and laboratory tests are conducted to investigate the relationship between meso-mechanical parameters and macro-mechanical behavior, with sensitivity analysis leading to an inversion procedure for estimating parameters. Different failure modes are proposed for different rocks based on the results obtained.
The Discrete Element Method (DEM) is increasingly used to study the failure behavior of rock. Despite DEM's intrinsic capability to capture the mechanical behavior of discontinua, there remains several open questions that include the numerical modelling of the meso-fracture evolution and behavior of brittle rock bodies. A Cohesive Fracture Model (CFM) designed explicitly for polyhedral shaped DEM particles is proposed for the simulation of the fracture and behavior of brittle rock bodies. A rock body is discretized into a series of rigid polyhedral blocks which are bonded along the boundary faces along the normal and shear directions. A cohesive criterion dictates the normal and shear break strengths of the bonds for the CFM. The computational efficiency of the CFM for polyhedral shaped DEM simulations is enhanced by parallelization over multiple graphical processing units (GPUs) in the Blaze-DEM framework. A series of numerical and laboratory tests are conducted. For marble, these include three-point bending and uniaxial tests to investigate the relationship between the meso-mechanical parameters and macro-mechanical behavior. Following a sensitivity analysis of the meso-mechanical parameters, an inversion procedure is established to estimate the numerical meso-mechanical parameters of the CFM model. Two different failure modes for different rocks are proposed. (C) 2020 Elsevier B.V. All rights reserved.

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