TY - JOUR

T1 - Three-dimensional mesoscale computational modeling of soil-rock mixtures with concave particles

AU - Meng, Qingxiang

AU - Wang, Huanling

AU - Cai, Ming

AU - Xu, Weiya

AU - Zhuang, Xiaoying

AU - Rabczuk, Timon

N1 - Funding Information: This study is financially supported by the National Key R&D Program of China ( 2018YFC0407004 ), the Fundamental Research Funds for the Central Universities ( B200201059 ), the National Natural Science Foundation of China (Grant Nos. 51709089 , 51609070 , 11572110 , 51479049 , 11771116 ), the China Postdoctoral Science Foundation Funded Project ( 2018T110434 ), and the 111 project .

PY - 2020/11

Y1 - 2020/11

N2 - Soil-rock mixtures (SRMs) are the main unfavorable geologic bodies in Southwest China. This paper presents a novel mesoscale computational modeling study of SRMs with concave aggregates. An efficient 3D mesoscale SRM generation method is proposed by combining the Gilbert–Johnson–Keerthi (GJK)-based collision detection technique, the border placement algorithm and the particle position selection method. A periodic mesh is generated based on the mesh mapping technique. A numerical homogenization analysis of an SRM with a large number of elements is realized, and the estimated parameters are validated by the experimental test results. The results indicate that SRMs with concave aggregates have a higher elastic modulus than those with convex aggregates. This method is helpful for predicting the physical properties of SRMs and has promising applications in engineering.

AB - Soil-rock mixtures (SRMs) are the main unfavorable geologic bodies in Southwest China. This paper presents a novel mesoscale computational modeling study of SRMs with concave aggregates. An efficient 3D mesoscale SRM generation method is proposed by combining the Gilbert–Johnson–Keerthi (GJK)-based collision detection technique, the border placement algorithm and the particle position selection method. A periodic mesh is generated based on the mesh mapping technique. A numerical homogenization analysis of an SRM with a large number of elements is realized, and the estimated parameters are validated by the experimental test results. The results indicate that SRMs with concave aggregates have a higher elastic modulus than those with convex aggregates. This method is helpful for predicting the physical properties of SRMs and has promising applications in engineering.

KW - 3D mesoscale modeling

KW - Concave particles

KW - Numerical homogenization

KW - Soil and rock mixture

UR - http://www.scopus.com/inward/record.url?scp=85089275342&partnerID=8YFLogxK

U2 - 10.1016/j.enggeo.2020.105802

DO - 10.1016/j.enggeo.2020.105802

M3 - Article

AN - SCOPUS:85089275342

VL - 277

JO - Engineering geology

JF - Engineering geology

SN - 0013-7952

M1 - 105802

ER -