Recent Advances in MercuryDPM

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

2023Mathematics in Computer Science10 citationsDOI Open Access PDF

Abstract

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.

Topics & Concepts

Software deploymentCloud computingComputer scienceCode (set theory)Bridge (graph theory)SoftwareOpen sourceSource codeFeature (linguistics)Computational scienceSoftware engineeringDistributed computingProgramming languageOperating systemPhilosophyLinguisticsMedicineSet (abstract data type)Internal medicineGranular flow and fluidized bedsParticle Dynamics in Fluid FlowsFluid Dynamics and Heat Transfer