Recent Advances in MercuryDPM

Anthony R. Thornton; Timo Plath; Igor Ostanin; Holger Götz; Jan Willem Bisschop; Mohamed Hassan; Raïsa Roeplal; Xiuqi Wang; Sahar Pourandi; Thomas Weinhart

doi:10.1007/s11786-023-00562-x

Recent Advances in MercuryDPM

Anthony R. Thornton^*, Timo Plath, Igor Ostanin, Holger Götz, Jan Willem Bisschop, Mohamed Hassan, Raïsa Roeplal, Xiuqi Wang, Sahar Pourandi, Thomas Weinhart

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

3 Citations (Scopus)

29 Downloads (Pure)

Abstract

In this paper we introduce the open-source code MercuryDPM: a code for simulating discrete particles. The paper discusses software and management issues that may be interesting for the developers of other open-source codes. Then we review the new features that have been added since the last publication: an improved Hertz-Mindlin model; a new liquid bridge model of Lian and Seville; a droplet-spray model; better support for re-creating complex, measured particle size distributions; a new implementation of rigid clumps; an implementation of elastic membranes; a wear model for walls; a soft-kill feature and a cloud-deployment interface for AWS.

Original language	English
Article number	13
Journal	Mathematics in Computer Science
Volume	17
Issue number	2
DOIs	https://doi.org/10.1007/s11786-023-00562-x
Publication status	Published - Jun 2023

Keywords

(Wet) Granular Materials
Cloud compung
DEM
DPM
MercuryDPM
open-source
UT-Hybrid-D

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Cite this

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AU - Ostanin, Igor

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AU - Hassan, Mohamed

AU - Roeplal, Raïsa

AU - Wang, Xiuqi

AU - Pourandi, Sahar

AU - Weinhart, Thomas

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Recent Advances in MercuryDPM

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