Comparing open-source DEM frameworks for simulations of common bulk processes

Dosta M, André D, Angelidakis V, Caulk R, Celigueta MÁ, Chareyre B, Dietiker JF, Girardot J, Govender N, Hubert C, Kobyłka R, Moura AF, Skorych V, Weatherley DK, Weinhart T (2024)

Publication Language: English

Publication Status: Submitted

Publication Type: Journal article, Original article

Future Publication Type: Journal article

Publication year: 2024

Journal

Computer Physics Communications Elsevier

Publisher: Elsevier

Book Volume: 296

Article Number: 109066

URI: https://www.sciencedirect.com/science/article/pii/S0010465523004113

DOI: 10.1016/j.cpc.2023.109066

Abstract

Multiple software frameworks based on the Discrete Element Method (DEM) are available for simulating granular materials. All of them employ the same principles of explicit time integration, with each time step consisting of three main steps: contact detection, calculation of interactions, and integration of the equations of motion. However, there exist significant algorithmic differences, such as the choice of contact models, particle and wall shapes, and data analysis methods. Further differences can be observed in the practical implementation, including data structures, architecture, parallelization and domain decomposition techniques, user interaction, and the documentation of resources.

This study compares, verifies, and benchmarks nine widely-used software frameworks. Only open-source packages were considered, as these are freely available and their underlying algorithms can be reviewed, edited, and tested. The benchmark consists of three common bulk processes: silo emptying, drum mixing, and particle impact. To keep it simple and comparable, only standard features were used, such as spherical particles and the Hertz-Mindlin model for dry contacts. Scripts for running the benchmarks in each software are provided as a dataset.

Authors with CRIS profile

Vasileios Angelidakis Lehrstuhl für Multiscale Simulation of Particulate Systems

Involved external institutions

University of Johannesburg ZA South Africa (ZA) Universität Hamburg (UHH) DE Germany (DE) University of Grenoble Alpes (UGA) / Université de Grenoble FR France (FR) Arts et Métiers ParisTech FR France (FR) Université de Limoges FR France (FR) Polska Akademia Nauk (PAN) / Polish Academy of Sciences PL Poland (PL) International Center for Numerical Methods in Engineering (CIMNE) ES Spain (ES) University of Twente NL Netherlands (NL) Université polytechnique des Hauts-de-France (UPHF, UVHC) FR France (FR) University of Queensland AU Australia (AU) DCS Computing GmbH AT Austria (AT) National Energy Technology Laboratory US United States (USA) (US)

How to cite

APA:

Dosta, M., André, D., Angelidakis, V., Caulk, R., Celigueta, M.Á., Chareyre, B.,... Weinhart, T. (2024). Comparing open-source DEM frameworks for simulations of common bulk processes. Computer Physics Communications, 296. https://doi.org/10.1016/j.cpc.2023.109066

MLA:

Dosta, Maksym, et al. "Comparing open-source DEM frameworks for simulations of common bulk processes." Computer Physics Communications 296 (2024).

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