Numerical study of soil-rock mixture: Generation of random aggregate structure

被引：86

作者：

Chen, Li ^{[1
]}

Yang, YongTao ^{[1
]}

Zheng, Hong ^{[1
,2
]}

机构：

[1] Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geotech Engn, Wuhan 430071, Hubei, Peoples R China

[2] Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China

来源：

SCIENCE CHINA-TECHNOLOGICAL SCIENCES | 2018年 / 61卷 / 03期

基金：

中国国家自然科学基金;

关键词：

soil-rock mixture (SRM); random aggregate structure (RAS); random sequential addition (RSA); EAB algorithm; background mesh; CONTINUOUS NODAL STRESS; RANDOM PARTICLE MODEL; MANIFOLD METHOD; SHEAR-STRENGTH; SIMULATION; CONCRETE; FRACTURE; PACKING;

D O I：

10.1007/s11431-017-9136-9

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The soil-rock mixture (SRM) is highly heterogeneous. Before carrying out numerical analysis, a structure model should be generated. A reliable way to obtain such structure is by generating random aggregate structure based on random sequential addition (RSA). The classical RSA is neither efficient nor robust since valid positions to place new inclusions are formulated by trial, which involves repetitive overlapping tests. In this paper, the algorithm of Entrance block between block A and B (EAB) is synergized with background mesh to redesign RSA so that permissible positions to place new inclusions can be predicted, resulting in dramatic improvement in efficiency and robustness.

引用

页码：359 / 369

页数：11

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