This paper presents a rapid and effective calibration method of mesoscopic parameters of a three-dimensional particle flow code (PFC3D) model for sandy cobble soil. The method is based on a series of numerical tests and takes into account the significant influence of mesoscopic parameters on macroscopic parameters. First, numerical simulations are conducted, with five implementation steps. Then, the multi-factor analysis of variance method is used to analyze the experimental results, the mesoscopic parameters with significant influence on the macroscopic response are singled out, and their linear relations to macroscopic responses are estimated by multiple linear regression. Finally, the parameter calibration problem is transformed into a multi-objective function optimization problem. Numerical simulation results are in good agreement with laboratory results both qualitatively and quantitatively. The results of this study can provide a basis for the calibration of microscopic parameters for the investigation of sandy cobble soil mechanical behavior.

本文提出了一种快速有效的砂卵石土三维颗粒流代码（PFC3D）模型细观参数标定方法。该方法基于一系列数值试验，并考虑了细观参数对宏观参数的显着影响。首先进行数值模拟，分五个实施步骤。然后，采用多因素方差分析方法对实验结果进行分析，挑选出对宏观响应有显着影响的细观参数，并通过多元线性回归估计它们与宏观响应的线性关系。最后，将参数标定问题转化为多目标函数优化问题。数值模拟结果在定性和定量上都与实验室结果非常吻合。研究结果可为砂卵石土力学行为研究的微观参数标定提供依据。