Numerical Simulation of Turbulent Flows using the SST-SAS Model

Autores
Grioni, Mauro; Elaskar, Sergio Amado; Bruel, Pascal; Mirasso, Anibal Edmundo
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Turbulent flows play a crucial role in various engineering and scientific applications, and the accurate prediction of these flows remains a challenging task. This review explores the application of the Shear Stress Transport Scale-Adaptive Simulation (SST-SAS) turbulence model for solving incompressible turbulent flows, with a specific focus on unsteady wakes behind bluff bodies. Providing a concise overview of the model’s formulation and its advantages, this article highlights the efficacy of the SST SAS model in simulating the intricate dynamics in different configurations of circular cylinders. The present study affirms that the SSTSAS model can be considered a highly viable alternative for simulating unsteady flows around bluff bodies due to the good predictive quality of the resulting simulations.
Fil: Grioni, Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Nacional de Cuyo. Facultad de Ingeniería. Instituto de Mecánica Estructural y Riesgo Sísmico; Argentina
Fil: Elaskar, Sergio Amado. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Estudios Avanzados en Ingeniería y Tecnología. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Estudios Avanzados en Ingeniería y Tecnología; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Aeronáutica; Argentina
Fil: Bruel, Pascal. Centre National de la Recherche Scientifique; Francia. Université de Pau Et Des Pays de L'adour.; Francia
Fil: Mirasso, Anibal Edmundo. Universidad Nacional de Cuyo. Facultad de Ingeniería. Instituto de Mecánica Estructural y Riesgo Sísmico; Argentina
Materia
SST-SAS TURBULENCE MODEL
UNSTEADY FLOW
INTERFERENCE EFFECTS
WALL PROXIMITY
TANDEM CIRCULAR CYLINDERS,
STAGGERED TUBE BUNDLE
WALL-MOUNTED CYLINDER
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/231559

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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Numerical Simulation of Turbulent Flows using the SST-SAS ModelGrioni, MauroElaskar, Sergio AmadoBruel, PascalMirasso, Anibal EdmundoSST-SAS TURBULENCE MODELUNSTEADY FLOWINTERFERENCE EFFECTSWALL PROXIMITYTANDEM CIRCULAR CYLINDERS,STAGGERED TUBE BUNDLEWALL-MOUNTED CYLINDERhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2Turbulent flows play a crucial role in various engineering and scientific applications, and the accurate prediction of these flows remains a challenging task. This review explores the application of the Shear Stress Transport Scale-Adaptive Simulation (SST-SAS) turbulence model for solving incompressible turbulent flows, with a specific focus on unsteady wakes behind bluff bodies. Providing a concise overview of the model’s formulation and its advantages, this article highlights the efficacy of the SST SAS model in simulating the intricate dynamics in different configurations of circular cylinders. The present study affirms that the SSTSAS model can be considered a highly viable alternative for simulating unsteady flows around bluff bodies due to the good predictive quality of the resulting simulations.Fil: Grioni, Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Nacional de Cuyo. Facultad de Ingeniería. Instituto de Mecánica Estructural y Riesgo Sísmico; ArgentinaFil: Elaskar, Sergio Amado. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Estudios Avanzados en Ingeniería y Tecnología. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Estudios Avanzados en Ingeniería y Tecnología; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Aeronáutica; ArgentinaFil: Bruel, Pascal. Centre National de la Recherche Scientifique; Francia. Université de Pau Et Des Pays de L'adour.; FranciaFil: Mirasso, Anibal Edmundo. Universidad Nacional de Cuyo. Facultad de Ingeniería. Instituto de Mecánica Estructural y Riesgo Sísmico; ArgentinaWorld Scientific and Engineering Academy and Society2024-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/231559Grioni, Mauro; Elaskar, Sergio Amado; Bruel, Pascal; Mirasso, Anibal Edmundo; Numerical Simulation of Turbulent Flows using the SST-SAS Model; World Scientific and Engineering Academy and Society; WSEAS Transactions on Fluid Mechanics; 19; 1-2024; 24-391790-50872224-347XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://wseas.com/journals/fluids/2024/a065113-003(2024).pdfinfo:eu-repo/semantics/altIdentifier/doi/10.37394/232013.2024.19.3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:31:41Zoai:ri.conicet.gov.ar:11336/231559instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:31:41.711CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Numerical Simulation of Turbulent Flows using the SST-SAS Model
title Numerical Simulation of Turbulent Flows using the SST-SAS Model
spellingShingle Numerical Simulation of Turbulent Flows using the SST-SAS Model
Grioni, Mauro
SST-SAS TURBULENCE MODEL
UNSTEADY FLOW
INTERFERENCE EFFECTS
WALL PROXIMITY
TANDEM CIRCULAR CYLINDERS,
STAGGERED TUBE BUNDLE
WALL-MOUNTED CYLINDER
title_short Numerical Simulation of Turbulent Flows using the SST-SAS Model
title_full Numerical Simulation of Turbulent Flows using the SST-SAS Model
title_fullStr Numerical Simulation of Turbulent Flows using the SST-SAS Model
title_full_unstemmed Numerical Simulation of Turbulent Flows using the SST-SAS Model
title_sort Numerical Simulation of Turbulent Flows using the SST-SAS Model
dc.creator.none.fl_str_mv Grioni, Mauro
Elaskar, Sergio Amado
Bruel, Pascal
Mirasso, Anibal Edmundo
author Grioni, Mauro
author_facet Grioni, Mauro
Elaskar, Sergio Amado
Bruel, Pascal
Mirasso, Anibal Edmundo
author_role author
author2 Elaskar, Sergio Amado
Bruel, Pascal
Mirasso, Anibal Edmundo
author2_role author
author
author
dc.subject.none.fl_str_mv SST-SAS TURBULENCE MODEL
UNSTEADY FLOW
INTERFERENCE EFFECTS
WALL PROXIMITY
TANDEM CIRCULAR CYLINDERS,
STAGGERED TUBE BUNDLE
WALL-MOUNTED CYLINDER
topic SST-SAS TURBULENCE MODEL
UNSTEADY FLOW
INTERFERENCE EFFECTS
WALL PROXIMITY
TANDEM CIRCULAR CYLINDERS,
STAGGERED TUBE BUNDLE
WALL-MOUNTED CYLINDER
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Turbulent flows play a crucial role in various engineering and scientific applications, and the accurate prediction of these flows remains a challenging task. This review explores the application of the Shear Stress Transport Scale-Adaptive Simulation (SST-SAS) turbulence model for solving incompressible turbulent flows, with a specific focus on unsteady wakes behind bluff bodies. Providing a concise overview of the model’s formulation and its advantages, this article highlights the efficacy of the SST SAS model in simulating the intricate dynamics in different configurations of circular cylinders. The present study affirms that the SSTSAS model can be considered a highly viable alternative for simulating unsteady flows around bluff bodies due to the good predictive quality of the resulting simulations.
Fil: Grioni, Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Nacional de Cuyo. Facultad de Ingeniería. Instituto de Mecánica Estructural y Riesgo Sísmico; Argentina
Fil: Elaskar, Sergio Amado. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Estudios Avanzados en Ingeniería y Tecnología. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Estudios Avanzados en Ingeniería y Tecnología; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Aeronáutica; Argentina
Fil: Bruel, Pascal. Centre National de la Recherche Scientifique; Francia. Université de Pau Et Des Pays de L'adour.; Francia
Fil: Mirasso, Anibal Edmundo. Universidad Nacional de Cuyo. Facultad de Ingeniería. Instituto de Mecánica Estructural y Riesgo Sísmico; Argentina
description Turbulent flows play a crucial role in various engineering and scientific applications, and the accurate prediction of these flows remains a challenging task. This review explores the application of the Shear Stress Transport Scale-Adaptive Simulation (SST-SAS) turbulence model for solving incompressible turbulent flows, with a specific focus on unsteady wakes behind bluff bodies. Providing a concise overview of the model’s formulation and its advantages, this article highlights the efficacy of the SST SAS model in simulating the intricate dynamics in different configurations of circular cylinders. The present study affirms that the SSTSAS model can be considered a highly viable alternative for simulating unsteady flows around bluff bodies due to the good predictive quality of the resulting simulations.
publishDate 2024
dc.date.none.fl_str_mv 2024-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/231559
Grioni, Mauro; Elaskar, Sergio Amado; Bruel, Pascal; Mirasso, Anibal Edmundo; Numerical Simulation of Turbulent Flows using the SST-SAS Model; World Scientific and Engineering Academy and Society; WSEAS Transactions on Fluid Mechanics; 19; 1-2024; 24-39
1790-5087
2224-347X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/231559
identifier_str_mv Grioni, Mauro; Elaskar, Sergio Amado; Bruel, Pascal; Mirasso, Anibal Edmundo; Numerical Simulation of Turbulent Flows using the SST-SAS Model; World Scientific and Engineering Academy and Society; WSEAS Transactions on Fluid Mechanics; 19; 1-2024; 24-39
1790-5087
2224-347X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://wseas.com/journals/fluids/2024/a065113-003(2024).pdf
info:eu-repo/semantics/altIdentifier/doi/10.37394/232013.2024.19.3
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv World Scientific and Engineering Academy and Society
publisher.none.fl_str_mv World Scientific and Engineering Academy and Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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