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WAMR - an adaptive wavelet method for the simulation of compressible reacting flow.: Part II. The parallel algorithm

WAMR - an adaptive wavelet method for the simulation of compressible reacting flow.: Part II. The parallel algorithm
WAMR - an adaptive wavelet method for the simulation of compressible reacting flow.: Part II. The parallel algorithm

The Wavelet Adaptive Multiresolution Representation (WAMR) algorithm is parallelized using a domain decomposition approach suitable to a wide range of distributed-memory parallel architectures. The method is applied to the solution of two unsteady, compressible, reactive flow problems and includes detailed diffusive transport and chemical kinetics models. The first problem is a cellular detonation in a hydrogen-oxygen-argon mixture. The second problem corresponds to the ignition and combustion of a hydrogen bubble by a shock wave in air. In both cases, results agree favorably with previous computational results.

Adaptive, Bubble ignition, Compressible reacting flow, Detailed kinetics, Detonation, Multicomponent diffusion, Newtonian fluid, Wavelet
0021-9991
842-864
Paolucci, Samuel
d9d7b875-1826-43d8-8058-c48802001e29
Zikoski, Zachary J.
7a4d0668-ec1f-4824-bab2-f52f487a8e5c
Grenga, Temistocle
be0eba30-74b5-4134-87e7-3a2d6dd3836f
Paolucci, Samuel
d9d7b875-1826-43d8-8058-c48802001e29
Zikoski, Zachary J.
7a4d0668-ec1f-4824-bab2-f52f487a8e5c
Grenga, Temistocle
be0eba30-74b5-4134-87e7-3a2d6dd3836f

Paolucci, Samuel, Zikoski, Zachary J. and Grenga, Temistocle (2014) WAMR - an adaptive wavelet method for the simulation of compressible reacting flow.: Part II. The parallel algorithm. Journal of Computational Physics, 272, 842-864. (doi:10.1016/j.jcp.2014.03.059).

Record type: Article

Abstract

The Wavelet Adaptive Multiresolution Representation (WAMR) algorithm is parallelized using a domain decomposition approach suitable to a wide range of distributed-memory parallel architectures. The method is applied to the solution of two unsteady, compressible, reactive flow problems and includes detailed diffusive transport and chemical kinetics models. The first problem is a cellular detonation in a hydrogen-oxygen-argon mixture. The second problem corresponds to the ignition and combustion of a hydrogen bubble by a shock wave in air. In both cases, results agree favorably with previous computational results.

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More information

Published date: 1 September 2014
Additional Information: Funding Information: Support of this work was provided by National Aeronautics and Space Administration (NASA) under Grant No. NNX07AD10A ; this support is gratefully acknowledged. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725 . In addition, this research was supported by an allocation of advanced computing resources provided by the National Science Foundation under Grant numbers 0711134 , 0933959 , 1041709 , and 1041710 and the University of Tennessee through the use of the Kraken computing resource at the National Institute for Computational Sciences ( http://www.nics.tennessee.edu/ ).
Keywords: Adaptive, Bubble ignition, Compressible reacting flow, Detailed kinetics, Detonation, Multicomponent diffusion, Newtonian fluid, Wavelet

Identifiers

Local EPrints ID: 480904
URI: http://eprints.soton.ac.uk/id/eprint/480904
ISSN: 0021-9991
PURE UUID: e044cac7-6985-4c38-b9c3-272070231537
ORCID for Temistocle Grenga: ORCID iD orcid.org/0000-0002-9465-9505

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Date deposited: 10 Aug 2023 16:52
Last modified: 06 Jun 2024 02:16

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Contributors

Author: Samuel Paolucci
Author: Zachary J. Zikoski
Author: Temistocle Grenga ORCID iD

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