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

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 pote...

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Main Authors: Pizette Patrick, Govender Nicolin, Wilke Daniel N., Abriak Nor-Edine
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201714003071
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spelling doaj-7ffc17855cf9404d876d3a6a332f349d2021-08-02T01:41:41ZengEDP SciencesEPJ Web of Conferences2100-014X2017-01-011400307110.1051/epjconf/201714003071epjconf162469DEM GPU studies of industrial scale particle simulations for granular flow civil engineering applicationsPizette PatrickGovender NicolinWilke Daniel N.0Abriak Nor-Edine1Centre for Asset and Integrity Management, University of Pretoria, PretoriaIMT Lille Douai, Univ. Lille, EA 4515 - LGCgE – Laboratoire de Génie Civil et géoEnvironnement, départment Génie Civil & EnvironnementalThe 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.https://doi.org/10.1051/epjconf/201714003071
collection DOAJ
language English
format Article
sources DOAJ
author Pizette Patrick
Govender Nicolin
Wilke Daniel N.
Abriak Nor-Edine
spellingShingle Pizette Patrick
Govender Nicolin
Wilke Daniel N.
Abriak Nor-Edine
DEM GPU studies of industrial scale particle simulations for granular flow civil engineering applications
EPJ Web of Conferences
author_facet Pizette Patrick
Govender Nicolin
Wilke Daniel N.
Abriak Nor-Edine
author_sort Pizette Patrick
title DEM GPU studies of industrial scale particle simulations for granular flow civil engineering applications
title_short DEM GPU studies of industrial scale particle simulations for granular flow civil engineering applications
title_full DEM GPU studies of industrial scale particle simulations for granular flow civil engineering applications
title_fullStr DEM GPU studies of industrial scale particle simulations for granular flow civil engineering applications
title_full_unstemmed DEM GPU studies of industrial scale particle simulations for granular flow civil engineering applications
title_sort dem gpu studies of industrial scale particle simulations for granular flow civil engineering applications
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2017-01-01
description 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.
url https://doi.org/10.1051/epjconf/201714003071
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AT govendernicolin demgpustudiesofindustrialscaleparticlesimulationsforgranularflowcivilengineeringapplications
AT wilkedanieln demgpustudiesofindustrialscaleparticlesimulationsforgranularflowcivilengineeringapplications
AT abriaknoredine demgpustudiesofindustrialscaleparticlesimulationsforgranularflowcivilengineeringapplications
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