An algorithm to generate dense and stable particle assemblies for 2D DEM simulation

DOI10.1016/j.enganabound.2020.02.009zbMath1464.74003OpenAlexW3009330071MaRDI QIDQ2191586

Yanyan Li

Publication date: 25 June 2020

Published in: Engineering Analysis with Boundary Elements (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.enganabound.2020.02.009

zbMATH Keywords

discrete element methodadvancing frontboundary tangencygeometric constructive method

Mathematics Subject Classification ID

Finite element methods applied to problems in solid mechanics (74S05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Mathematical modeling or simulation for problems pertaining to mechanics of deformable solids (74-10)

Related Items (1)

A Minkowski difference‐based advancing front packing technique for generating convex noncircular particles in complex domains

Cites Work

• Optimized dropping and rolling (ODR) method for packing of poly-disperse spheres
• Packing spherical discrete elements for large scale simulations
• Analysis of a triangulation based approach for specimen generation for discrete element simulations.
• A geometric algorithm based on tetrahedral meshes to generate a dense polydisperse sphere packing
• An efficient algorithm to generate random sphere packs in arbitrary domains
• An algorithm to generate random dense arrangements for discrete element simulations of granular assemblies
• Geometrical modeling of granular structures in two and three dimensions. Application to nanostructures
• Filling domains with disks: an advancing front approach

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