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Abstract

Recently, a European COST network was funded entitled ‘Open Network on DEM simulations (ON-DEM)’ which has many aims including increasing industrial utilisation of open-source codes in the area of particle simulation, increasing the collaboration between different codes, reducing there run-time and increasing the range of physics they can cover and improve their accuracy. The provision of best-practice advice, guidance and normalisation are also key objectives.

In order to achieve these goals we must bring in skills and softwares from outside of the particle community and look at topics like: coupling with other solvers for fluids and solids, machine learning for optimisation and calibration, model order reduction, as well as model verification, validation and benchmarking. In the future this could lead to open-source general physics software tool-kit.

This mini-symposium will start by introducing the ON-DEM COST network; however, talks are open to all interested in particle simulations or integrating other techniques with or for particle simulations. Suggested talk topics are:

  • Open-source particle codes

  • Increasing industrial utilisation

  • Coupling particle codes with fluid/solid solvers

  • More efficient contact detection (dealing with large particle numbers and complex particle shape definitions)

  • Calibration of particle simulation

  • Optimisation of particle simulations

  • Standardisation of visualisation and post-processing tools for particle simulation

Speakers

Speaker

Title

Barreto Daniel

ON-DEM: The Future of Open Source DEM and Beyond

Tunuguntla Deepak Raju

Towards a Community-driven Unified Open-particle Solver

Anthony Thornton

Multiscale, Multiphysics Modelling of Granular Materials – CFD, Volume and Surface - Coupled Discrete Particle Simulations in Moomph

Hoppe Felix

Combining the Auto-tuned Particle Simulation Framework AutoPas With Hierarchical Grids

Plath Timo

virtual

MOR Than DPM: Model Order Reduction for the Discrete Particle Method

Ostanin Igor

Granular Particles With Controlled Inertial Properties

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