Towards a New Turbulence Model Based on Lagrangian Flows, Reduced Order Models, and Global-Local Approximations

Autores
Idelsohn, Sergio R.
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Although the Navier-Stokes equations represent correctly both, laminar fluid flows as well as turbulent ones, the current power of the computers does not allow solving the latter without making empirical approximations that make the results are only predictable within the same margins from which the empirical approximation was realized. Taking into account that the vast majority of fluid flows that must be simulated by the industries are indeed of a turbulent nature, this makes it worthwhile to continue improving the models so that they fit more and more with the physicsmathematic equations. The current project in which we are working is in that sense. Based on previous work, we are proposing a new turbulence model that fits more with the physic and can be solved in one of the current computer. Always within the multi-scale models, in which all the turbulence model are based, the new idea consists in: a) treating the macro-scale with lagrangian particles, which convect and diffuse the turbulence; b) solving the micro-scale as a problem of unstable laminar fluid flow subjected to velocity gradients; c) applying a Reduction Order Model (ROM) to the micro-scale; d) going from the microscale to the macro-scale as in a Global-Local Model with a ROM.
Publicado en: Mecánica Computacional, vol. XXXV, no 1.
Facultad de Ingeniería
Materia
Ingeniería
Turbulence model
Lagrangian Flows
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/94112

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spelling Towards a New Turbulence Model Based on Lagrangian Flows, Reduced Order Models, and Global-Local ApproximationsIdelsohn, Sergio R.IngenieríaTurbulence modelLagrangian FlowsAlthough the Navier-Stokes equations represent correctly both, laminar fluid flows as well as turbulent ones, the current power of the computers does not allow solving the latter without making empirical approximations that make the results are only predictable within the same margins from which the empirical approximation was realized. Taking into account that the vast majority of fluid flows that must be simulated by the industries are indeed of a turbulent nature, this makes it worthwhile to continue improving the models so that they fit more and more with the physicsmathematic equations. The current project in which we are working is in that sense. Based on previous work, we are proposing a new turbulence model that fits more with the physic and can be solved in one of the current computer. Always within the multi-scale models, in which all the turbulence model are based, the new idea consists in: a) treating the macro-scale with lagrangian particles, which convect and diffuse the turbulence; b) solving the micro-scale as a problem of unstable laminar fluid flow subjected to velocity gradients; c) applying a Reduction Order Model (ROM) to the micro-scale; d) going from the microscale to the macro-scale as in a Global-Local Model with a ROM.Publicado en: <i>Mecánica Computacional</i>, vol. XXXV, no 1.Facultad de Ingeniería2017-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionResumenhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf3http://sedici.unlp.edu.ar/handle/10915/94112enginfo:eu-repo/semantics/altIdentifier/url/https://cimec.org.ar/ojs/index.php/mc/article/view/5227info:eu-repo/semantics/altIdentifier/issn/2591-3522info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:51:48Zoai:sedici.unlp.edu.ar:10915/94112Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:51:48.433SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Towards a New Turbulence Model Based on Lagrangian Flows, Reduced Order Models, and Global-Local Approximations
title Towards a New Turbulence Model Based on Lagrangian Flows, Reduced Order Models, and Global-Local Approximations
spellingShingle Towards a New Turbulence Model Based on Lagrangian Flows, Reduced Order Models, and Global-Local Approximations
Idelsohn, Sergio R.
Ingeniería
Turbulence model
Lagrangian Flows
title_short Towards a New Turbulence Model Based on Lagrangian Flows, Reduced Order Models, and Global-Local Approximations
title_full Towards a New Turbulence Model Based on Lagrangian Flows, Reduced Order Models, and Global-Local Approximations
title_fullStr Towards a New Turbulence Model Based on Lagrangian Flows, Reduced Order Models, and Global-Local Approximations
title_full_unstemmed Towards a New Turbulence Model Based on Lagrangian Flows, Reduced Order Models, and Global-Local Approximations
title_sort Towards a New Turbulence Model Based on Lagrangian Flows, Reduced Order Models, and Global-Local Approximations
dc.creator.none.fl_str_mv Idelsohn, Sergio R.
author Idelsohn, Sergio R.
author_facet Idelsohn, Sergio R.
author_role author
dc.subject.none.fl_str_mv Ingeniería
Turbulence model
Lagrangian Flows
topic Ingeniería
Turbulence model
Lagrangian Flows
dc.description.none.fl_txt_mv Although the Navier-Stokes equations represent correctly both, laminar fluid flows as well as turbulent ones, the current power of the computers does not allow solving the latter without making empirical approximations that make the results are only predictable within the same margins from which the empirical approximation was realized. Taking into account that the vast majority of fluid flows that must be simulated by the industries are indeed of a turbulent nature, this makes it worthwhile to continue improving the models so that they fit more and more with the physicsmathematic equations. The current project in which we are working is in that sense. Based on previous work, we are proposing a new turbulence model that fits more with the physic and can be solved in one of the current computer. Always within the multi-scale models, in which all the turbulence model are based, the new idea consists in: a) treating the macro-scale with lagrangian particles, which convect and diffuse the turbulence; b) solving the micro-scale as a problem of unstable laminar fluid flow subjected to velocity gradients; c) applying a Reduction Order Model (ROM) to the micro-scale; d) going from the microscale to the macro-scale as in a Global-Local Model with a ROM.
Publicado en: <i>Mecánica Computacional</i>, vol. XXXV, no 1.
Facultad de Ingeniería
description Although the Navier-Stokes equations represent correctly both, laminar fluid flows as well as turbulent ones, the current power of the computers does not allow solving the latter without making empirical approximations that make the results are only predictable within the same margins from which the empirical approximation was realized. Taking into account that the vast majority of fluid flows that must be simulated by the industries are indeed of a turbulent nature, this makes it worthwhile to continue improving the models so that they fit more and more with the physicsmathematic equations. The current project in which we are working is in that sense. Based on previous work, we are proposing a new turbulence model that fits more with the physic and can be solved in one of the current computer. Always within the multi-scale models, in which all the turbulence model are based, the new idea consists in: a) treating the macro-scale with lagrangian particles, which convect and diffuse the turbulence; b) solving the micro-scale as a problem of unstable laminar fluid flow subjected to velocity gradients; c) applying a Reduction Order Model (ROM) to the micro-scale; d) going from the microscale to the macro-scale as in a Global-Local Model with a ROM.
publishDate 2017
dc.date.none.fl_str_mv 2017-11
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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