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Revisiting History Effects in Adverse-Pressure-Gradient Turbulent Boundary Layers

The goal of this study is to present a first step towards establishing criteria aimed at assessing whether a particular adverse-pressure-gradient (APG) turbulent boundary layer (TBL) can be considered well-behaved, i.e., whether it is independent of the inflow conditions and is exempt of numerical o...

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Autores principales: Vinuesa, Ricardo, Örlü, Ramis, Sanmiguel Vila, Carlos, Ianiro, Andrea, Discetti, Stefano, Schlatter, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044237/
https://www.ncbi.nlm.nih.gov/pubmed/30069157
http://dx.doi.org/10.1007/s10494-017-9845-7
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author Vinuesa, Ricardo
Örlü, Ramis
Sanmiguel Vila, Carlos
Ianiro, Andrea
Discetti, Stefano
Schlatter, Philipp
author_facet Vinuesa, Ricardo
Örlü, Ramis
Sanmiguel Vila, Carlos
Ianiro, Andrea
Discetti, Stefano
Schlatter, Philipp
author_sort Vinuesa, Ricardo
collection PubMed
description The goal of this study is to present a first step towards establishing criteria aimed at assessing whether a particular adverse-pressure-gradient (APG) turbulent boundary layer (TBL) can be considered well-behaved, i.e., whether it is independent of the inflow conditions and is exempt of numerical or experimental artifacts. To this end, we analyzed several high-quality datasets, including in-house numerical databases of APG TBLs developing over flat-plates and the suction side of a wing section, and five studies available in the literature. Due to the impact of the flow history on the particular state of the boundary layer, we developed three criteria of convergence to well-behaved conditions, to be used depending on the particular case under study. (i) In the first criterion, we develop empirical correlations defining the R e (𝜃)-evolution of the skin-friction coefficient and the shape factor in APG TBLs with constant values of the Clauser pressure-gradient parameter β = 1 and 2 (note that β = δ (∗)/τ (w)dP (e)/dx, where δ (∗) is the displacement thickness, τ (w) the wall-shear stress and dP (e)/dx the streamwise pressure gradient). (ii) In the second one, we propose a predictive method to obtain the skin-friction curve corresponding to an APG TBL subjected to any streamwise evolution of β, based only on data from zero-pressure-gradient TBLs. (iii) The third method relies on the diagnostic-plot concept modified with the shape factor, which scales APG TBLs subjected to a wide range of pressure-gradient conditions. These three criteria allow to ensure the correct flow development of a particular TBL, and thus to separate history and pressure-gradient effects in the analysis.
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spelling pubmed-60442372018-07-30 Revisiting History Effects in Adverse-Pressure-Gradient Turbulent Boundary Layers Vinuesa, Ricardo Örlü, Ramis Sanmiguel Vila, Carlos Ianiro, Andrea Discetti, Stefano Schlatter, Philipp Flow Turbul Combust Article The goal of this study is to present a first step towards establishing criteria aimed at assessing whether a particular adverse-pressure-gradient (APG) turbulent boundary layer (TBL) can be considered well-behaved, i.e., whether it is independent of the inflow conditions and is exempt of numerical or experimental artifacts. To this end, we analyzed several high-quality datasets, including in-house numerical databases of APG TBLs developing over flat-plates and the suction side of a wing section, and five studies available in the literature. Due to the impact of the flow history on the particular state of the boundary layer, we developed three criteria of convergence to well-behaved conditions, to be used depending on the particular case under study. (i) In the first criterion, we develop empirical correlations defining the R e (𝜃)-evolution of the skin-friction coefficient and the shape factor in APG TBLs with constant values of the Clauser pressure-gradient parameter β = 1 and 2 (note that β = δ (∗)/τ (w)dP (e)/dx, where δ (∗) is the displacement thickness, τ (w) the wall-shear stress and dP (e)/dx the streamwise pressure gradient). (ii) In the second one, we propose a predictive method to obtain the skin-friction curve corresponding to an APG TBL subjected to any streamwise evolution of β, based only on data from zero-pressure-gradient TBLs. (iii) The third method relies on the diagnostic-plot concept modified with the shape factor, which scales APG TBLs subjected to a wide range of pressure-gradient conditions. These three criteria allow to ensure the correct flow development of a particular TBL, and thus to separate history and pressure-gradient effects in the analysis. Springer Netherlands 2017-08-25 2017 /pmc/articles/PMC6044237/ /pubmed/30069157 http://dx.doi.org/10.1007/s10494-017-9845-7 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Vinuesa, Ricardo
Örlü, Ramis
Sanmiguel Vila, Carlos
Ianiro, Andrea
Discetti, Stefano
Schlatter, Philipp
Revisiting History Effects in Adverse-Pressure-Gradient Turbulent Boundary Layers
title Revisiting History Effects in Adverse-Pressure-Gradient Turbulent Boundary Layers
title_full Revisiting History Effects in Adverse-Pressure-Gradient Turbulent Boundary Layers
title_fullStr Revisiting History Effects in Adverse-Pressure-Gradient Turbulent Boundary Layers
title_full_unstemmed Revisiting History Effects in Adverse-Pressure-Gradient Turbulent Boundary Layers
title_short Revisiting History Effects in Adverse-Pressure-Gradient Turbulent Boundary Layers
title_sort revisiting history effects in adverse-pressure-gradient turbulent boundary layers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044237/
https://www.ncbi.nlm.nih.gov/pubmed/30069157
http://dx.doi.org/10.1007/s10494-017-9845-7
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