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

authored by: Qingxiang Meng, Huanling Wang, Ming Cai, Weiya Xu, Xiaoying Zhuang, Timon Rabczuk
Abstract: 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.
Organisation(s): Institute of Continuum Mechanics
External Organisation(s): Hohai University
Northeastern University, Shenyang (NEU)
Laurentian University
King Saud University
Type: Article
Journal: Engineering geology
Volume: 277
ISSN: 0013-7952
Publication date: 11.2020
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Geotechnical Engineering and Engineering Geology, Geology
Electronic version(s): https://doi.org/10.1016/j.enggeo.2020.105802 (Access: Closed)
: Details in the research portal "Research@Leibniz University"

BibTeX

@article{60a314ebc5fc4cc985a6d8f7d8d73ec1,
title = "Three-dimensional mesoscale computational modeling of soil-rock mixtures with concave particles",
abstract = "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.",
keywords = "3D mesoscale modeling, Concave particles, Numerical homogenization, Soil and rock mixture",
author = "Qingxiang Meng and Huanling Wang and Ming Cai and Weiya Xu and Xiaoying Zhuang and Timon Rabczuk",
note = "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 . ",
year = "2020",
month = nov,
doi = "10.1016/j.enggeo.2020.105802",
language = "English",
volume = "277",
journal = "Engineering geology",
issn = "0013-7952",
publisher = "Elsevier",
}