DEM GPU studies of industrial scale particle simulations for granular flow civil engineering applications

Patrick Pizette, Nicolin Govender, Daniel N. Wilke, Nor Edine Abriak

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)

Abstract

The use of the Discrete Element Method (DEM) for industrial civil engineering industrial applications is currently limited due to the computational demands when large numbers of particles are considered. The graphics processing unit (GPU) with its highly parallelized hardware architecture shows potential to enable solution of civil engineering problems using discrete granular approaches. We demonstrate in this study the pratical utility of a validated GPU-enabled DEM modeling environment to simulate industrial scale granular problems. As illustration, the flow discharge of storage silos using 8 and 17 million particles is considered. DEM simulations have been performed to investigate the influence of particle size (equivalent size for the 20/40-mesh gravel) and induced shear stress for two hopper shapes. The preliminary results indicate that the shape of the hopper significantly influences the discharge rates for the same material. Specifically, this work shows that GPU-enabled DEM modeling environments can model industrial scale problems on a single portable computer within a day for 30 seconds of process time.

Original languageEnglish
Article number03071
JournalEPJ Web of Conferences
Volume140
DOIs
Publication statusPublished - 30 Jun 2017
Externally publishedYes
Event8th International Conference on Micromechanics on Granular Media, Powders and Grains 2017 - Montpellier, France
Duration: 3 Jul 20177 Jul 2017

ASJC Scopus subject areas

  • General Physics and Astronomy

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