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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Online Access: | https://doi.org/10.1051/epjconf/201714003071 |
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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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