Recent Advances in MercuryDPM

Journal Article (2023)
Author(s)

Anthony R. Thornton (University of Twente, Mercury Lab BV)

Timo Plath (University of Twente)

Igor Ostanin (University of Twente)

Holger Götz (Friedrich-Alexander-Universität Erlangen-Nürnberg)

Jan Willem Bisschop (Mercury Lab BV, University of Twente)

Mohamed Hassan (University of Twente)

Raïsa Roeplal (TU Delft - Transport Engineering and Logistics)

Xiuqi Wang (University of Twente)

Sahar Pourandi (University of Twente)

Thomas Weinhart (University of Twente, Mercury Lab BV)

Research Group
Transport Engineering and Logistics
DOI related publication
https://doi.org/10.1007/s11786-023-00562-x
More Info
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Publication Year
2023
Language
English
Research Group
Transport Engineering and Logistics
Journal title
Mathematics in Computer Science
Issue number
2
Volume number
17
Article number
13
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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.