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Title: A scalable Euler–Lagrange approach for multiphase flow simulation on spectral elements

Abstract

Multiphase flow can be difficult to simulate with high accuracy due to the wide range of scales associated with various multiphase phenomena. These scales may range from the size of individual particles to the entire domain of interest. Traditionally, large scale systems can only be simulated using averaging approaches that filter out the locations of individual particles. In this work, the Euler–Lagrange method is used to simulate large-scale dense particle systems in which each individual particle is tracked. In order to accomplish this, the highly scalable spectral element code nek5000 has been extended to handle the multiple levels of multiphase coupling in these systems. These levels include what has been called one-, two-, and four-way coupling. Here, each level has been separated to detail the computational impact of each stage. A binned ghost particle algorithm has also been developed to efficiently handle the challenges of two- and four-way coupling in a parallel processing context. The algorithms and their implementations are then shown to scale to 65,536 Message Passing Interface (MPI) ranks in both the strong and weak limits. After this, validation is performed through simulation of a small-scale fluidized bed. Lastly, a large-scale fluidized bed is simulated with 65,536 MPImore » ranks and is able to capture the unique physics of the onset of fluidization.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]
  1. Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1557001
Grant/Contract Number:  
NA0002378
Resource Type:
Journal Article: Published Article
Journal Name:
International Journal of High Performance Computing Applications
Additional Journal Information:
Journal Name: International Journal of High Performance Computing Applications; Journal ID: ISSN 1094-3420
Publisher:
SAGE Publications
Country of Publication:
United States
Language:
English

Citation Formats

Zwick, David, and Balachandar, S. A scalable Euler–Lagrange approach for multiphase flow simulation on spectral elements. United States: N. p., 2019. Web. doi:10.1177/1094342019867756.
Zwick, David, & Balachandar, S. A scalable Euler–Lagrange approach for multiphase flow simulation on spectral elements. United States. doi:10.1177/1094342019867756.
Zwick, David, and Balachandar, S. Mon . "A scalable Euler–Lagrange approach for multiphase flow simulation on spectral elements". United States. doi:10.1177/1094342019867756.
@article{osti_1557001,
title = {A scalable Euler–Lagrange approach for multiphase flow simulation on spectral elements},
author = {Zwick, David and Balachandar, S.},
abstractNote = {Multiphase flow can be difficult to simulate with high accuracy due to the wide range of scales associated with various multiphase phenomena. These scales may range from the size of individual particles to the entire domain of interest. Traditionally, large scale systems can only be simulated using averaging approaches that filter out the locations of individual particles. In this work, the Euler–Lagrange method is used to simulate large-scale dense particle systems in which each individual particle is tracked. In order to accomplish this, the highly scalable spectral element code nek5000 has been extended to handle the multiple levels of multiphase coupling in these systems. These levels include what has been called one-, two-, and four-way coupling. Here, each level has been separated to detail the computational impact of each stage. A binned ghost particle algorithm has also been developed to efficiently handle the challenges of two- and four-way coupling in a parallel processing context. The algorithms and their implementations are then shown to scale to 65,536 Message Passing Interface (MPI) ranks in both the strong and weak limits. After this, validation is performed through simulation of a small-scale fluidized bed. Lastly, a large-scale fluidized bed is simulated with 65,536 MPI ranks and is able to capture the unique physics of the onset of fluidization.},
doi = {10.1177/1094342019867756},
journal = {International Journal of High Performance Computing Applications},
issn = {1094-3420},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on August 12, 2020
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