DEM simulations using convex NURBS particles

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  • Universidade de Sao Paulo
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Original languageEnglish
JournalComputational Particle Mechanics
Early online date30 Nov 2023
Publication statusE-pub ahead of print - 30 Nov 2023

Abstract

Contact detection is one of the most important steps to be handled during numerical simulations of particle systems. It is extremely dependent on particle geometry, which governs the mechanical behavior of systems and the computational cost of simulations. NURBS are an option to model the boundary of particles with nonstandard geometries, here called “NURBS particles”. The contact between NURBS particles, however, is not trivial. The present paper presents a complete contact detection algorithm for convex NURBS particles, which automatically performs a hierarchy of contact searches. It is based on computer graphics and optimization techniques to address local contact. For robustness, specific strategies are implemented to model closed NURBS geometries, indicating the occurrence of local geometric imperfections when using multiple NURBS parameterizations. The main novelty of the work is related to a degeneration of the local contact problem to deal with such imperfections, which allows using general particle geometries. Numerical examples demonstrate the robustness of the proposed algorithm.

Keywords

    Computer graphics, Contact, Degeneration, Discrete element method, NURBS

ASJC Scopus subject areas

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DEM simulations using convex NURBS particles. / Craveiro, Marina Vendl; Gay Neto, Alfredo; Wriggers, Peter.
In: Computational Particle Mechanics, 30.11.2023.

Research output: Contribution to journalArticleResearchpeer review

Craveiro, MV, Gay Neto, A & Wriggers, P 2023, 'DEM simulations using convex NURBS particles', Computational Particle Mechanics. https://doi.org/10.1007/s40571-023-00675-x
Craveiro, M. V., Gay Neto, A., & Wriggers, P. (2023). DEM simulations using convex NURBS particles. Computational Particle Mechanics. Advance online publication. https://doi.org/10.1007/s40571-023-00675-x
Craveiro MV, Gay Neto A, Wriggers P. DEM simulations using convex NURBS particles. Computational Particle Mechanics. 2023 Nov 30. Epub 2023 Nov 30. doi: 10.1007/s40571-023-00675-x
Craveiro, Marina Vendl ; Gay Neto, Alfredo ; Wriggers, Peter. / DEM simulations using convex NURBS particles. In: Computational Particle Mechanics. 2023.
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AU - Wriggers, Peter

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