Development of computational methodologies for turbulence transitional flow prediction

Bibliographic Details
Main Author: Oliveira, Rui Vizinho de
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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spelling 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
url http://hdl.handle.net/10400.6/4186
identifier_str_mv urn:tid:101406010
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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repository.mail.fl_str_mv info@rcaap.pt
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