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A Parallel Multiscale DEM-VOF Method For Large-Scale Simulations Of Three-Phase Flows
Pozzetti, Gabriele; Besseron, Xavier; Rousset, Alban et al.
2018In Proceedings of ECCM-ECFD 2018
Peer reviewed
 

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Keywords :
Parallel Computing; Multiscale; DEM-VOF Method
Abstract :
[en] A parallel dual-grid multiscale DEM-VOF coupling is here investigated. Dual- grid multiscale couplings have been recently used to address different engineering problems involving the interaction between granular phases and complex fluid flows. Nevertheless, previous studies did not focus on the parallel performance of such a coupling and were, therefore, limited to relatively small applications. In this contribution, we propose an insight into the performance of the dual-grid multiscale DEM-VOF method for three- phase flows when operated in parallel. In particular,we focus on a famous benchmark case for three-phase flows and assess the influence of the partitioning algorithm on the scalability of the dual-grid algorithm.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Pozzetti, Gabriele ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Besseron, Xavier  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Rousset, Alban ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Peters, Bernhard ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
External co-authors :
no
Language :
English
Title :
A Parallel Multiscale DEM-VOF Method For Large-Scale Simulations Of Three-Phase Flows
Publication date :
2018
Event name :
6th European Conference on Computational Mechanics and 7th European Conference on Computational Fluid Dynamics (ECCM-ECFD 2018)
Event date :
10-6-2018 to 17-6-2018
Journal title :
Proceedings of ECCM-ECFD 2018
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Name of the research project :
Luxdem.parallel_CFD-DEM
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since 04 June 2018

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