Three-dimensional mesoscale computational modeling of soil-rock mixtures with concave particles
- verfasst von
- 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.
- Organisationseinheit(en)
-
Institut für Kontinuumsmechanik
- Externe Organisation(en)
-
Hohai University
Universität Nordostchinas (NEU)
Laurentian University
King Saud University
- Typ
- Artikel
- Journal
- Engineering geology
- Band
- 277
- ISSN
- 0013-7952
- Publikationsdatum
- 11.2020
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Geotechnik und Ingenieurgeologie, Geologie
- Elektronische Version(en)
-
https://doi.org/10.1016/j.enggeo.2020.105802 (Zugang:
Geschlossen)
