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Lookup NU author(s): Vasileios AngelidakisORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Discrete particle simulations have become the standard in science and industrial applications exploring the properties of particulate systems. Most of such simulations rely on the concept of interacting spherical particles to describe the properties of particulates, although, the correct representation of the nonspherical particle shape is crucial for a number of applications. In this work we describe the implementation of clumps, i.e. assemblies of rigidly connected spherical particles, which can approximate given nonspherical shapes, within the MercuryDPM particle dynamics code. MercuryDPM contact detection algorithm is particularly efficient for polydisperse particle systems, which is essential for multilevel clumps approximating complex surfaces. We employ the existing open-source CLUMP library to generate clump particles. We detail the pre-processing tools providing necessary initial data, as well as the necessary adjustments of the algorithms of contact detection, collision/migration and numerical time integration. The capabilities of our implementation are illustrated for a variety of examples.
Author(s): Ostanin I, Angelidakis V, Plath T, Pourandi S, Thornton A, Weinhart T
Publication type: Article
Publication status: Published
Journal: Computer Physics Communications
Year: 2024
Volume: 296
Online publication date: 30/11/2023
Acceptance date: 26/11/2023
Date deposited: 02/01/2024
ISSN (electronic): 0010-4655
Publisher: Elsevier
URL: https://doi.org/10.1016/j.cpc.2023.109034
DOI: 10.1016/j.cpc.2023.109034
Data Access Statement: The data and codes are freely available via public repository https:// bitbucket.org/mercurydpm
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