Coupling Particle Simulations: Challenges, Strategies, and the ON-DEM Vision

The Discrete Particle Method (DPM), also known as the Discrete Element Method (DEM), simulates the motion and interaction of individual grains and has proven highly successful in modelling granular processes. However, tackling the next generation of challenges—such as multiphysics interactions and multiscale phenomena—requires coupling DPM with continuum solvers for fluids and deformable solids. Additionally, the growing complexity of industrial processes is pushing the limits of DEM, which remains computationally intensive. This calls for flexible, efficient coupling strategies to extend the capabilities of DEM. In this talk, we present the main types of DEM coupling currently used in the field. We focus on three key approaches: Surface coupling, which models the interaction between granular materials and soft or deformable boundaries; Volume coupling, which allows hybrid modelling where some regions are simulated with DEM and others with a continuum approach—enhancing scalability without sacrificing accuracy; Particle–fluid coupling, which models the interaction of particles with a background fluid or thermal field. We also introduce the newly funded European COST network ON-DEM (Open Network on DEM simulations), which aims to accelerate progress in this area. We conclude by discussing the integration of the coupling library preCICE, highlighting its potential as a key enabler for ON-DEM's goals and the broader future of particle simulation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-03
DOI
https://doi.org/10.5281/zenodo.17258370
Primary Topic
DNA Repair Mechanisms
Type
article
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article

Coupling Particle Simulations: Challenges, Strategies, and the ON-DEM Vision

Zenodo (CERN European Organization for Nuclear Research)
DNA Repair Mechanisms
article

Coupling Particle Simulations: Challenges, Strategies, and the ON-DEM Vision

article en

Abstract

The Discrete Particle Method (DPM), also known as the Discrete Element Method (DEM), simulates the motion and interaction of individual grains and has proven highly successful in modelling granular processes. However, tackling the next generation of challenges—such as multiphysics interactions and multiscale phenomena—requires coupling DPM with continuum solvers for fluids and deformable solids. Additionally, the growing complexity of industrial processes is pushing the limits of DEM, which remains computationally intensive. This calls for flexible, efficient coupling strategies to extend the capabilities of DEM. In this talk, we present the main types of DEM coupling currently used in the field. We focus on three key approaches: Surface coupling, which models the interaction between granular materials and soft or deformable boundaries; Volume coupling, which allows hybrid modelling where some regions are simulated with DEM and others with a continuum approach—enhancing scalability without sacrificing accuracy; Particle–fluid coupling, which models the interaction of particles with a background fluid or thermal field. We also introduce the newly funded European COST network ON-DEM (Open Network on DEM simulations), which aims to accelerate progress in this area. We conclude by discussing the integration of the coupling library preCICE, highlighting its potential as a key enabler for ON-DEM's goals and the broader future of particle simulation.

Zenodo (CERN European Organization for Nuclear Research)
University of Stuttgart (DE), Mercer (Czechia) (CZ), Edinburgh Napier University (GB), University of Manchester (GB), University of Twente (NL)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
DNA Repair Mechanisms
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Coupling Particle Simulations: Challenges, Strategies, and the ON-DEM Vision · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS