长江科学院院报2017，Vol.34Issue(11)：61-65,71,6.DOI:10.11988/ckyyb.20160795
基于PFC2D的岩土体孔隙统计算法分析
Statistical Algorithms for Pore Size Distribution of Rock-soil Mass Based on PFC2D
摘要
Abstract
The purpose of this research is to obtain the microscopic structural characteristics and the variation rules of macroscopic engineering properties of rock and soil materials.We discussed the issues of statistical error,pixel size,and statistical algorithms for pixel-particle-filling method by simulating pore structures in rock and soil samples using PFC2D (2-dimensional particle flow code).Results show that taking into account both statistical error and algorithmic efficiency,we recommend 1/20 of the radius of the smallest particle as the proper radius for pixel-particle-filling used for pore structure statistics.We also compared three pore volume statistical algorithms and found that round-off method is the optimal.Moreover,we proposed a method to obtain the curve of equivalent pore size distribution,based on which further research works are able to be conducted on the 3D pore structures model,the characteristics of the pore structures and the relationship among these characteristics and macro-mechanical behaviors and engineering properties of rock-soil.关键词
孔隙结构/像素颗粒填充法/二维颗粒流软件/等效孔径分布曲线/舍入法Key words
pore structure/pixel-particle-filling method/PFC2D/equivalent pore size distribution curve/round-off method分类
建筑与水利引用本文复制引用
袁俊平,史宇宙,丁国权,王强林..基于PFC2D的岩土体孔隙统计算法分析[J].长江科学院院报,2017,34(11):61-65,71,6.基金项目
国家自然科学基金项目(51378008) （51378008）
中央高校基本科研业务费项目(B15020060) （B15020060）
