Development of computational methodologies for turbulence transitional flow prediction
Main Author: | |
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Publication Date: | 2016 |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.6/4186 |
Summary: | Turbulence transition modelling is still, albeit the past developments, an active research area of interest for various industry sectors. Its modelling can range from RANS based closures to full DNS computations. The former approach is of course the most feasible simulation methodology. Therefore, RANS based transition models have been developed for industry use. These, range from empirically correlated transition models to physics based phenomenological transition closures. Implementation and validation of these models resulted in a deeper understanding of the processes by which RANS based closures are able to predict turbulence transition onset. The research presented herein on the speci c type of physics in which the transition models are based resulted in an accuracy improvement of an existing turbulence transition closure, the k-kl-!. Additionally, upon gaining a deeper understanding on the role of the pre-transitional ow region, a new turbulence transition model was devised. This is based on a never before applied concept of pre-transitional turbulent vortex deformation due to mean ow shear. This will induce the appearance of a small pre-transitional turbulent viscosity on the edge of the laminar boundary layer. The induced viscosity is a result from the predicted small negative pre-transitional u0v0 values. Although experimentally veri ed, up until now, no model has ever been able to predict this turbulent feature based on a mechanical analogy. The transition V-model was then coupled to a turbulence model, the Spalart-Allmaras closure, resulting in the V-SA transition model. This was validated for a wide range of ow conditions and multiple geometries. It is concluded that the mechanical analogy based closure is a feasible concept with a promising future. Although the developed V-SA turbulence transition model is simple, it is able to predict complex transition phenomenon. |
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Development of computational methodologies for turbulence transitional flow predictionTransiçãoTurbulênciaRANSOpenFoamFluentTurbulence transition modelling is still, albeit the past developments, an active research area of interest for various industry sectors. Its modelling can range from RANS based closures to full DNS computations. The former approach is of course the most feasible simulation methodology. Therefore, RANS based transition models have been developed for industry use. These, range from empirically correlated transition models to physics based phenomenological transition closures. Implementation and validation of these models resulted in a deeper understanding of the processes by which RANS based closures are able to predict turbulence transition onset. The research presented herein on the speci c type of physics in which the transition models are based resulted in an accuracy improvement of an existing turbulence transition closure, the k-kl-!. Additionally, upon gaining a deeper understanding on the role of the pre-transitional ow region, a new turbulence transition model was devised. This is based on a never before applied concept of pre-transitional turbulent vortex deformation due to mean ow shear. This will induce the appearance of a small pre-transitional turbulent viscosity on the edge of the laminar boundary layer. The induced viscosity is a result from the predicted small negative pre-transitional u0v0 values. Although experimentally veri ed, up until now, no model has ever been able to predict this turbulent feature based on a mechanical analogy. The transition V-model was then coupled to a turbulence model, the Spalart-Allmaras closure, resulting in the V-SA transition model. This was validated for a wide range of ow conditions and multiple geometries. It is concluded that the mechanical analogy based closure is a feasible concept with a promising future. Although the developed V-SA turbulence transition model is simple, it is able to predict complex transition phenomenon.Marques, José Carlos PáscoaSilvestre, Miguel Ângelo RodriguesuBibliorumOliveira, Rui Vizinho de2016-06-20T09:44:06Z20162016-01-01T00:00:00Zdoctoral thesisinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.6/4186urn:tid:101406010enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-11T14:49:59Zoai:ubibliorum.ubi.pt:10400.6/4186Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T01:21:24.200901Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Development of computational methodologies for turbulence transitional flow prediction |
title |
Development of computational methodologies for turbulence transitional flow prediction |
spellingShingle |
Development of computational methodologies for turbulence transitional flow prediction Oliveira, Rui Vizinho de Transição Turbulência RANS OpenFoam Fluent |
title_short |
Development of computational methodologies for turbulence transitional flow prediction |
title_full |
Development of computational methodologies for turbulence transitional flow prediction |
title_fullStr |
Development of computational methodologies for turbulence transitional flow prediction |
title_full_unstemmed |
Development of computational methodologies for turbulence transitional flow prediction |
title_sort |
Development of computational methodologies for turbulence transitional flow prediction |
author |
Oliveira, Rui Vizinho de |
author_facet |
Oliveira, Rui Vizinho de |
author_role |
author |
dc.contributor.none.fl_str_mv |
Marques, José Carlos Páscoa Silvestre, Miguel Ângelo Rodrigues uBibliorum |
dc.contributor.author.fl_str_mv |
Oliveira, Rui Vizinho de |
dc.subject.por.fl_str_mv |
Transição Turbulência RANS OpenFoam Fluent |
topic |
Transição Turbulência RANS OpenFoam Fluent |
description |
Turbulence transition modelling is still, albeit the past developments, an active research area of interest for various industry sectors. Its modelling can range from RANS based closures to full DNS computations. The former approach is of course the most feasible simulation methodology. Therefore, RANS based transition models have been developed for industry use. These, range from empirically correlated transition models to physics based phenomenological transition closures. Implementation and validation of these models resulted in a deeper understanding of the processes by which RANS based closures are able to predict turbulence transition onset. The research presented herein on the speci c type of physics in which the transition models are based resulted in an accuracy improvement of an existing turbulence transition closure, the k-kl-!. Additionally, upon gaining a deeper understanding on the role of the pre-transitional ow region, a new turbulence transition model was devised. This is based on a never before applied concept of pre-transitional turbulent vortex deformation due to mean ow shear. This will induce the appearance of a small pre-transitional turbulent viscosity on the edge of the laminar boundary layer. The induced viscosity is a result from the predicted small negative pre-transitional u0v0 values. Although experimentally veri ed, up until now, no model has ever been able to predict this turbulent feature based on a mechanical analogy. The transition V-model was then coupled to a turbulence model, the Spalart-Allmaras closure, resulting in the V-SA transition model. This was validated for a wide range of ow conditions and multiple geometries. It is concluded that the mechanical analogy based closure is a feasible concept with a promising future. Although the developed V-SA turbulence transition model is simple, it is able to predict complex transition phenomenon. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06-20T09:44:06Z 2016 2016-01-01T00:00:00Z |
dc.type.driver.fl_str_mv |
doctoral thesis |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.6/4186 urn:tid:101406010 |
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http://hdl.handle.net/10400.6/4186 |
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urn:tid:101406010 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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