An efficient algorithm for granular dynamics simulations with complex-shaped objects

Alonso-Marroquin, Fernando and Wang, Yucang (2009) An efficient algorithm for granular dynamics simulations with complex-shaped objects. Granular Matter, 11 5: 317-329. doi:10.1007/s10035-009-0139-1

Author Alonso-Marroquin, Fernando
Wang, Yucang
Title An efficient algorithm for granular dynamics simulations with complex-shaped objects
Journal name Granular Matter   Check publisher's open access policy
ISSN 1434-5021
Publication date 2009-10
Sub-type Article (original research)
DOI 10.1007/s10035-009-0139-1
Open Access Status
Volume 11
Issue 5
Start page 317
End page 329
Total pages 13
Place of publication Heidelberg, German
Publisher Springer
Language eng
Formatted abstract
One of the most difficult aspect of the realistic modeling of granular materials is how to capture the real shape of the particles. Here we present a method to simulate two-dimensional granular materials with complex-shaped particles. The particle shape is represented by the classical concept of a Minkowski sum, which permits the representation of complex shapes without the need to define the object as a composite of spherical or convex particles. A well defined interaction force between these bodies is derived. The algorithm for identification of neighbor particles reduces force calculations to O(N), where N is the number of particles. The method is much more efficient, accurate and easier to implement than other models. We prove that the algorithm is consistent with energy conservation, which is numerically verified using non-dissipative granular dynamics simulations. Biaxial test simulations on dissipative granular systems demonstrate the relevance of shape in the strength and stress fluctuations at the critical state.
Keyword Dynamics and kinematics of rigid bodies
Granular systems
Molecular dynamics methods
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Mathematics and Physics
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Citation counts: TR Web of Science Citation Count  Cited 36 times in Thomson Reuters Web of Science Article | Citations
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