Rock and Soil Mechanics ›› 2018, Vol. 39 ›› Issue (12): 4642-4651.doi: 10.16285/j.rsm.2017.0945

• Numerical Analysis • Previous Articles     Next Articles

Study of particle size effect of rock model based on particle discrete element method

SU Hui1, YANG Jia-qi1, HU Bao-wen1, 2, GAO Xuan1, MA Hui1   

  1. 1. School of Water Resources and Hydropower, Hebei University of Engineering, Handan, Hebei 056021, China; 2. Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mines, University of Science and Technology Beijing, Beijing 100083, China
  • Received:2017-05-11 Online:2018-12-11 Published:2019-01-01
  • Supported by:
    This work was supported by the Natural Science Foundation of Hebei Province (E2018402263) and the Open Foundation from Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mines, USTB (ustbmslab201706).

Abstract: Particle size is an important factor affecting macroscopic mechanical properties and computational efficiency of particle discrete element model. To account for the uncertainty of numerical results caused by the stochastic model, we study the effect of particle size using statistical methods. The result of the global test shows that the distribution position of mechanical parameters (i.e. peak strength, elastic modulus, Poisson's ratio and peak strain) and the failure characteristic parameter (bond failure rate) is significantly affected by the characteristic length ratio L/R. The coefficient of variation (CV) of these parameters increases as L/R decreases. The further multiple comparisons show that L/R has no significant effect on the distribution of these parameters as L/R≥125. When L/R≥79, the L/R has no significant effect on the distribution position of bond failure rate within the range of three adjacent ball radius levels. With the decrease of L/R, the damage degree of the model increases gradually, and the failure mode is changed from the whole shear failure to the unstable failure caused by the local damage, which makes the model lose the simulation effectiveness to rock materials. Finally, by combining the statistical results of mechanical parameters, the failure mode of the model and the computational efficiency, the L/R=200 should be suitable for the simulation of rock materials.

Key words: macroscopic mechanical properties, rock model, statistical test, particle size effect, characteristic length ratio

CLC Number: 

  • TU 452
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