Nektar++: Development of the Compressible Flow Solver for Large Scale Aeroacoustic Applications

A recently developed computational framework for jet noise predictions is presented. The framework consists of two main components, focusing on source prediction and noise propagation. To compute the noise sources, the turbulent jet is simulated using the compressible flow solver implemented in the...

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Detalhes bibliográficos
Autores: Lindblad, D., Isler, J., Moragues, M., Sherwin, S.J., Cantwell, C.
Tipo de documento: artigo
Estado:Versión enviada para evaluación y publicación
Data de publicação:2023
País:España
Recursos:Basque Center for Applied Mathematics (BCAM)
Repositório:BIRD. BCAM's Institutional Repository Data
OAI Identifier:oai:bird.bcamath.org:20.500.11824/1629
Acesso em linha:http://hdl.handle.net/20.500.11824/1629
Access Level:Acceso aberto
Palavra-chave:Jet Noise
Discontinuous Galerkin
Scaling
Large Eddy Simulation
Ffowcs Williams - Hawkings
Acoustics
Installation Noise
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spelling Nektar++: Development of the Compressible Flow Solver for Large Scale Aeroacoustic ApplicationsLindblad, D.Isler, J.Moragues, M.Sherwin, S.J.Cantwell, C.Jet NoiseDiscontinuous GalerkinScalingLarge Eddy SimulationFfowcs Williams - HawkingsAcousticsInstallation NoiseA recently developed computational framework for jet noise predictions is presented. The framework consists of two main components, focusing on source prediction and noise propagation. To compute the noise sources, the turbulent jet is simulated using the compressible flow solver implemented in the open-source spectral/hp element framework Nektar++, which solves the unfiltered Navier-Stokes equations on unstructured grids using the high- order discontinuous Galerkin method. This allows high-order accuracy to be achieved on unstructured grids, which in turn is important in order to accu- rately simulate industrially relevant geometries. For noise propagation, the Ffowcs Williams - Hawkings method is used to propagate the noise between the jet and the far-field. The paper provides a detailed description of the com- putational framework, including how the different components fit together and how to use them. To demonstrate the framework, two configurations of a single stream subsonic jet are considered. In the first configuration, the jet is treated in isolation, whereas in the second configuration, it is installed under a wing. The aerodynamic results for these two jets show strong agreement with experimental data, while some discrepancies are observed in the acous- tic results, which are discussed. In addition to this, we demonstrate close to linear scaling beyond 100, 000 processors on the ARCHER2 supercomputer.202320232023info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionapplication/pdfhttp://hdl.handle.net/20.500.11824/1629reponame:BIRD. BCAM's Institutional Repository Datainstname:Basque Center for Applied Mathematics (BCAM)Inglésinfo:eu-repo/grantAgreement/EC/H2020/842536Reconocimiento-NoComercial-CompartirIgual 3.0 Españahttp://creativecommons.org/licenses/by-nc-sa/3.0/es/info:eu-repo/semantics/openAccessoai:bird.bcamath.org:20.500.11824/16292026-06-19T12:47:47Z
dc.title.none.fl_str_mv Nektar++: Development of the Compressible Flow Solver for Large Scale Aeroacoustic Applications
title Nektar++: Development of the Compressible Flow Solver for Large Scale Aeroacoustic Applications
spellingShingle Nektar++: Development of the Compressible Flow Solver for Large Scale Aeroacoustic Applications
Lindblad, D.
Jet Noise
Discontinuous Galerkin
Scaling
Large Eddy Simulation
Ffowcs Williams - Hawkings
Acoustics
Installation Noise
title_short Nektar++: Development of the Compressible Flow Solver for Large Scale Aeroacoustic Applications
title_full Nektar++: Development of the Compressible Flow Solver for Large Scale Aeroacoustic Applications
title_fullStr Nektar++: Development of the Compressible Flow Solver for Large Scale Aeroacoustic Applications
title_full_unstemmed Nektar++: Development of the Compressible Flow Solver for Large Scale Aeroacoustic Applications
title_sort Nektar++: Development of the Compressible Flow Solver for Large Scale Aeroacoustic Applications
dc.creator.none.fl_str_mv Lindblad, D.
Isler, J.
Moragues, M.
Sherwin, S.J.
Cantwell, C.
author Lindblad, D.
author_facet Lindblad, D.
Isler, J.
Moragues, M.
Sherwin, S.J.
Cantwell, C.
author_role author
author2 Isler, J.
Moragues, M.
Sherwin, S.J.
Cantwell, C.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Jet Noise
Discontinuous Galerkin
Scaling
Large Eddy Simulation
Ffowcs Williams - Hawkings
Acoustics
Installation Noise
topic Jet Noise
Discontinuous Galerkin
Scaling
Large Eddy Simulation
Ffowcs Williams - Hawkings
Acoustics
Installation Noise
description A recently developed computational framework for jet noise predictions is presented. The framework consists of two main components, focusing on source prediction and noise propagation. To compute the noise sources, the turbulent jet is simulated using the compressible flow solver implemented in the open-source spectral/hp element framework Nektar++, which solves the unfiltered Navier-Stokes equations on unstructured grids using the high- order discontinuous Galerkin method. This allows high-order accuracy to be achieved on unstructured grids, which in turn is important in order to accu- rately simulate industrially relevant geometries. For noise propagation, the Ffowcs Williams - Hawkings method is used to propagate the noise between the jet and the far-field. The paper provides a detailed description of the com- putational framework, including how the different components fit together and how to use them. To demonstrate the framework, two configurations of a single stream subsonic jet are considered. In the first configuration, the jet is treated in isolation, whereas in the second configuration, it is installed under a wing. The aerodynamic results for these two jets show strong agreement with experimental data, while some discrepancies are observed in the acous- tic results, which are discussed. In addition to this, we demonstrate close to linear scaling beyond 100, 000 processors on the ARCHER2 supercomputer.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.11824/1629
url http://hdl.handle.net/20.500.11824/1629
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/EC/H2020/842536
dc.rights.none.fl_str_mv Reconocimiento-NoComercial-CompartirIgual 3.0 España
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Reconocimiento-NoComercial-CompartirIgual 3.0 España
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:BIRD. BCAM's Institutional Repository Data
instname:Basque Center for Applied Mathematics (BCAM)
instname_str Basque Center for Applied Mathematics (BCAM)
reponame_str BIRD. BCAM's Institutional Repository Data
collection BIRD. BCAM's Institutional Repository Data
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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