Geomechanics and Engineering

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A parameter calibration method for PFC simulation: Development and a case study of limestone

  • Xu, Z.H. (Geotechnical and Structural Engineering Research Center, Shandong University) ;
  • Wang, W.Y. (Geotechnical and Structural Engineering Research Center, Shandong University) ;
  • Lin, P. (Geotechnical and Structural Engineering Research Center, Shandong University) ;
  • Xiong, Y. (Geotechnical and Structural Engineering Research Center, Shandong University) ;
  • Liu, Z.Y. (Geotechnical and Structural Engineering Research Center, Shandong University) ;
  • He, S.J. (Geotechnical and Structural Engineering Research Center, Shandong University)
  • Received : 2020.04.08
  • Accepted : 2020.06.01
  • Published : 2020.07.10
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Abstract

The time-consuming and less objectivity are the main problems of conventional micromechanical parameters calibration method of Particle Flow Code simulations. Thus this study aims to address these two limitation of the conventional "trial-and-error" method. A new calibration method for the linear parallel bond model (CM-LPBM) is proposed. First, numerical simulations are conducted based on the results of the uniaxial compression tests on limestone. The macroscopic response of the numerical model agrees well with the results of the uniaxial compression tests. To reduce the number of the independent micromechanical parameters, numerical simulations are then carried out. Based on the results of the orthogonal experiments and the multi-factor variance analysis, main micromechanical parameters affecting the macro parameters of rocks are proposed. The macro-micro parameter functions are ultimately established using multiple linear regression, and the iteration correction formulas of the micromechanical parameters are obtained. To further verify the validity of the proposed method, a case study is carried out. The error between the macro mechanical response and the numerical results is less than 5%. Hence the calibration method, i.e., the CM-LPBM, is reliable for obtaining the micromechanical parameters quickly and accurately, providing reference for the calibration of micromechanical parameters.

Keywords

Acknowledgement

The research described in this paper was financially supported by the National Natural Science Foundation of China (Grant No.: 51879153), the Natural Science Foundation of Shanodng Province (Grant No.: ZR201808080053) and the China Postdoctoral Science Foundation (Grant No.: 2019M662361).

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