Details

Autor(en) / Beteiligte

• Meng, Qingxiang
• Wang, Huanling
• Cai, Ming
• Xu, Weiya
• Zhuang, Xiaoying
• Rabczuk, Timon

Titel

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

Ist Teil von

• Engineering geology, 2020-11, Vol.277, p.105802, Article 105802

Ort / Verlag

Elsevier B.V

Erscheinungsjahr

2020

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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. •A novel 3D SRM mesoscale modeling method with concave particles is presented.•A collision detection technique incorporating Gilbert–Johnson–Keerthi (GJK) and convex decomposition algorithm is developed.•Numerical homogenization analysis of 3D SRM is conducted and verified by experimental results.•Parameter study indicates that SRMs with concave aggregates have higher elastic modulus than that with convex aggregates.