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Self-similar compressible turbulent boundary layers with pressure gradients. Part 2. Self-similarity analysis of the outer layer
A thorough self-similarity analysis is presented to investigate the properties of self-similarity for the outer layer of compressible turbulent boundary layers. The results are validated using the compressible and quasi-incompressible direct numerical simulation (DNS) data shown and discussed in the...
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Published in: | Journal of fluid mechanics 2019-12, Vol.880, p.284-325 |
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creator | Gibis, Tobias Wenzel, Christoph Kloker, Markus Rist, Ulrich |
description | A thorough self-similarity analysis is presented to investigate the properties of self-similarity for the outer layer of compressible turbulent boundary layers. The results are validated using the compressible and quasi-incompressible direct numerical simulation (DNS) data shown and discussed in the first part of this study; see Wenzel
et al.
(
J. Fluid Mech.
, vol. 880, 2019, pp. 239–283). The analysis is carried out for a general set of characteristic scales, and conditions are derived which have to be fulfilled by these sets in case of self-similarity. To evaluate the main findings derived, four sets of characteristic scales are proposed and tested. These represent compressible extensions of the incompressible edge scaling, friction scaling, Zagarola–Smits scaling and a newly defined Rotta–Clauser scaling. Their scaling success is assessed by checking the collapse of flow-field profiles extracted at various streamwise positions, being normalized by the respective scales. For a good set of scales, most conditions derived in the analysis are fulfilled. As suggested by the data investigated, approximate self-similarity can be achieved for the mean-flow distributions of the velocity, mass flux and total enthalpy and the turbulent terms. Self-similarity thus can be stated to be achievable to a very high degree in the compressible regime. Revealed by the analysis and confirmed by the DNS data, this state is predicted by the compressible pressure-gradient boundary-layer growth parameter
$\unicode[STIX]{x1D6EC}_{c}$
, which is similar to the incompressible one found by related incompressible studies. Using appropriate adaption,
$\unicode[STIX]{x1D6EC}_{c}$
values become comparable for compressible and incompressible pressure-gradient cases with similar wall-normal shear-stress distributions. The Rotta–Clauser parameter in its traditional form
$\unicode[STIX]{x1D6FD}_{K}=(\unicode[STIX]{x1D6FF}_{K}^{\ast }/\bar{\unicode[STIX]{x1D70F}}_{w})(\text{d}p_{e}/\text{d}x)$
with the kinematic (incompressible) displacement thickness
$\unicode[STIX]{x1D6FF}_{K}^{\ast }$
is shown to be a valid parameter of the form
$\unicode[STIX]{x1D6EC}_{c}$
and hence still is a good indicator for equilibrium flow in the compressible regime at the finite Reynolds numbers considered. Furthermore, the analysis reveals that the often neglected derivative of the length scale,
$\text{d}L_{0}/\text{d}x$
, can be incorporated, which was found to have an important influence on the scaling succes |
doi_str_mv | 10.1017/jfm.2019.672 |
format | article |
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et al.
(
J. Fluid Mech.
, vol. 880, 2019, pp. 239–283). The analysis is carried out for a general set of characteristic scales, and conditions are derived which have to be fulfilled by these sets in case of self-similarity. To evaluate the main findings derived, four sets of characteristic scales are proposed and tested. These represent compressible extensions of the incompressible edge scaling, friction scaling, Zagarola–Smits scaling and a newly defined Rotta–Clauser scaling. Their scaling success is assessed by checking the collapse of flow-field profiles extracted at various streamwise positions, being normalized by the respective scales. For a good set of scales, most conditions derived in the analysis are fulfilled. As suggested by the data investigated, approximate self-similarity can be achieved for the mean-flow distributions of the velocity, mass flux and total enthalpy and the turbulent terms. Self-similarity thus can be stated to be achievable to a very high degree in the compressible regime. Revealed by the analysis and confirmed by the DNS data, this state is predicted by the compressible pressure-gradient boundary-layer growth parameter
$\unicode[STIX]{x1D6EC}_{c}$
, which is similar to the incompressible one found by related incompressible studies. Using appropriate adaption,
$\unicode[STIX]{x1D6EC}_{c}$
values become comparable for compressible and incompressible pressure-gradient cases with similar wall-normal shear-stress distributions. The Rotta–Clauser parameter in its traditional form
$\unicode[STIX]{x1D6FD}_{K}=(\unicode[STIX]{x1D6FF}_{K}^{\ast }/\bar{\unicode[STIX]{x1D70F}}_{w})(\text{d}p_{e}/\text{d}x)$
with the kinematic (incompressible) displacement thickness
$\unicode[STIX]{x1D6FF}_{K}^{\ast }$
is shown to be a valid parameter of the form
$\unicode[STIX]{x1D6EC}_{c}$
and hence still is a good indicator for equilibrium flow in the compressible regime at the finite Reynolds numbers considered. Furthermore, the analysis reveals that the often neglected derivative of the length scale,
$\text{d}L_{0}/\text{d}x$
, can be incorporated, which was found to have an important influence on the scaling success of common ‘low-Reynolds-number’ DNS data; this holds for both incompressible and compressible flow. Especially for the scaling of the
$\bar{\unicode[STIX]{x1D70C}}\widetilde{u^{\prime \prime }v^{\prime \prime }}$
stress and thus also the wall shear stress
$\bar{\unicode[STIX]{x1D70F}}_{w}$
, the inclusion of
$\text{d}L_{0}/\text{d}x$
leads to palpable improvements.</description><identifier>ISSN: 0022-1120</identifier><identifier>EISSN: 1469-7645</identifier><identifier>DOI: 10.1017/jfm.2019.672</identifier><language>eng</language><publisher>Cambridge: Cambridge University Press</publisher><subject>Boundary layers ; Collapse ; Compressible flow ; Computational fluid dynamics ; Computer simulation ; Data ; Direct numerical simulation ; Enthalpy ; Equilibrium flow ; Fluid flow ; Incompressible flow ; Mathematical models ; Parameters ; Pressure ; Pressure gradients ; Profiles ; Scaling ; Self-similarity ; Shear stress ; Turbulent boundary layer ; Wall shear stresses</subject><ispartof>Journal of fluid mechanics, 2019-12, Vol.880, p.284-325</ispartof><rights>2019 This article is published under (https://creativecommons.org/licenses/by/3.0/) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c301t-f9362f59d04baedb55a376075512957700cbddcdeceb31754b5e1fe7fb7af7663</citedby><cites>FETCH-LOGICAL-c301t-f9362f59d04baedb55a376075512957700cbddcdeceb31754b5e1fe7fb7af7663</cites><orcidid>0000-0002-5352-7442 ; 0000-0002-2526-952X ; 0000-0001-9281-4279</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Gibis, Tobias</creatorcontrib><creatorcontrib>Wenzel, Christoph</creatorcontrib><creatorcontrib>Kloker, Markus</creatorcontrib><creatorcontrib>Rist, Ulrich</creatorcontrib><title>Self-similar compressible turbulent boundary layers with pressure gradients. Part 2. Self-similarity analysis of the outer layer</title><title>Journal of fluid mechanics</title><description>A thorough self-similarity analysis is presented to investigate the properties of self-similarity for the outer layer of compressible turbulent boundary layers. The results are validated using the compressible and quasi-incompressible direct numerical simulation (DNS) data shown and discussed in the first part of this study; see Wenzel
et al.
(
J. Fluid Mech.
, vol. 880, 2019, pp. 239–283). The analysis is carried out for a general set of characteristic scales, and conditions are derived which have to be fulfilled by these sets in case of self-similarity. To evaluate the main findings derived, four sets of characteristic scales are proposed and tested. These represent compressible extensions of the incompressible edge scaling, friction scaling, Zagarola–Smits scaling and a newly defined Rotta–Clauser scaling. Their scaling success is assessed by checking the collapse of flow-field profiles extracted at various streamwise positions, being normalized by the respective scales. For a good set of scales, most conditions derived in the analysis are fulfilled. As suggested by the data investigated, approximate self-similarity can be achieved for the mean-flow distributions of the velocity, mass flux and total enthalpy and the turbulent terms. Self-similarity thus can be stated to be achievable to a very high degree in the compressible regime. Revealed by the analysis and confirmed by the DNS data, this state is predicted by the compressible pressure-gradient boundary-layer growth parameter
$\unicode[STIX]{x1D6EC}_{c}$
, which is similar to the incompressible one found by related incompressible studies. Using appropriate adaption,
$\unicode[STIX]{x1D6EC}_{c}$
values become comparable for compressible and incompressible pressure-gradient cases with similar wall-normal shear-stress distributions. The Rotta–Clauser parameter in its traditional form
$\unicode[STIX]{x1D6FD}_{K}=(\unicode[STIX]{x1D6FF}_{K}^{\ast }/\bar{\unicode[STIX]{x1D70F}}_{w})(\text{d}p_{e}/\text{d}x)$
with the kinematic (incompressible) displacement thickness
$\unicode[STIX]{x1D6FF}_{K}^{\ast }$
is shown to be a valid parameter of the form
$\unicode[STIX]{x1D6EC}_{c}$
and hence still is a good indicator for equilibrium flow in the compressible regime at the finite Reynolds numbers considered. Furthermore, the analysis reveals that the often neglected derivative of the length scale,
$\text{d}L_{0}/\text{d}x$
, can be incorporated, which was found to have an important influence on the scaling success of common ‘low-Reynolds-number’ DNS data; this holds for both incompressible and compressible flow. Especially for the scaling of the
$\bar{\unicode[STIX]{x1D70C}}\widetilde{u^{\prime \prime }v^{\prime \prime }}$
stress and thus also the wall shear stress
$\bar{\unicode[STIX]{x1D70F}}_{w}$
, the inclusion of
$\text{d}L_{0}/\text{d}x$
leads to palpable improvements.</description><subject>Boundary layers</subject><subject>Collapse</subject><subject>Compressible flow</subject><subject>Computational fluid dynamics</subject><subject>Computer simulation</subject><subject>Data</subject><subject>Direct numerical simulation</subject><subject>Enthalpy</subject><subject>Equilibrium flow</subject><subject>Fluid flow</subject><subject>Incompressible flow</subject><subject>Mathematical models</subject><subject>Parameters</subject><subject>Pressure</subject><subject>Pressure gradients</subject><subject>Profiles</subject><subject>Scaling</subject><subject>Self-similarity</subject><subject>Shear stress</subject><subject>Turbulent boundary layer</subject><subject>Wall shear stresses</subject><issn>0022-1120</issn><issn>1469-7645</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpNkM1KxDAURoMoOI7ufICAW1tvkqahSxn8gwEFdR2S9sbJ0E7HJEW689HtWBeu7uZw-O4h5JJBzoCpm63rcg6sykvFj8iCFWWVqbKQx2QBwHnGGIdTchbjFoAJqNSCfL9i67LoO9-aQOu-2weM0dsWaRqCHVrcJWr7YdeYMNLWjBgi_fJpQ3_BISD9CKbxExZz-mJCojyn_6U-jdTsTDtGH2nvaNog7YeEYbadkxNn2ogXf3dJ3u_v3laP2fr54Wl1u85qASxlrhIld7JqoLAGGyulEaoEJSXjlVQKoLZNUzdYoxVMycJKZA6Vs8o4VZZiSa5m7z70nwPGpLf9EKZdUXMhBQgxSSbqeqbq0McY0Ol98N30umagD4311FgfGuupsfgBGSJyPA</recordid><startdate>20191210</startdate><enddate>20191210</enddate><creator>Gibis, Tobias</creator><creator>Wenzel, Christoph</creator><creator>Kloker, Markus</creator><creator>Rist, Ulrich</creator><general>Cambridge University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TB</scope><scope>7U5</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope><orcidid>https://orcid.org/0000-0002-5352-7442</orcidid><orcidid>https://orcid.org/0000-0002-2526-952X</orcidid><orcidid>https://orcid.org/0000-0001-9281-4279</orcidid></search><sort><creationdate>20191210</creationdate><title>Self-similar compressible turbulent boundary layers with pressure gradients. Part 2. Self-similarity analysis of the outer layer</title><author>Gibis, Tobias ; Wenzel, Christoph ; Kloker, Markus ; Rist, Ulrich</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c301t-f9362f59d04baedb55a376075512957700cbddcdeceb31754b5e1fe7fb7af7663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Boundary layers</topic><topic>Collapse</topic><topic>Compressible flow</topic><topic>Computational fluid dynamics</topic><topic>Computer simulation</topic><topic>Data</topic><topic>Direct numerical simulation</topic><topic>Enthalpy</topic><topic>Equilibrium flow</topic><topic>Fluid flow</topic><topic>Incompressible flow</topic><topic>Mathematical models</topic><topic>Parameters</topic><topic>Pressure</topic><topic>Pressure gradients</topic><topic>Profiles</topic><topic>Scaling</topic><topic>Self-similarity</topic><topic>Shear stress</topic><topic>Turbulent boundary layer</topic><topic>Wall shear stresses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gibis, Tobias</creatorcontrib><creatorcontrib>Wenzel, Christoph</creatorcontrib><creatorcontrib>Kloker, Markus</creatorcontrib><creatorcontrib>Rist, Ulrich</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest_Research Library</collection><collection>ProQuest Science Journals</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>DELNET Engineering & Technology Collection</collection><jtitle>Journal of fluid mechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gibis, Tobias</au><au>Wenzel, Christoph</au><au>Kloker, Markus</au><au>Rist, Ulrich</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Self-similar compressible turbulent boundary layers with pressure gradients. Part 2. Self-similarity analysis of the outer layer</atitle><jtitle>Journal of fluid mechanics</jtitle><date>2019-12-10</date><risdate>2019</risdate><volume>880</volume><spage>284</spage><epage>325</epage><pages>284-325</pages><issn>0022-1120</issn><eissn>1469-7645</eissn><abstract>A thorough self-similarity analysis is presented to investigate the properties of self-similarity for the outer layer of compressible turbulent boundary layers. The results are validated using the compressible and quasi-incompressible direct numerical simulation (DNS) data shown and discussed in the first part of this study; see Wenzel
et al.
(
J. Fluid Mech.
, vol. 880, 2019, pp. 239–283). The analysis is carried out for a general set of characteristic scales, and conditions are derived which have to be fulfilled by these sets in case of self-similarity. To evaluate the main findings derived, four sets of characteristic scales are proposed and tested. These represent compressible extensions of the incompressible edge scaling, friction scaling, Zagarola–Smits scaling and a newly defined Rotta–Clauser scaling. Their scaling success is assessed by checking the collapse of flow-field profiles extracted at various streamwise positions, being normalized by the respective scales. For a good set of scales, most conditions derived in the analysis are fulfilled. As suggested by the data investigated, approximate self-similarity can be achieved for the mean-flow distributions of the velocity, mass flux and total enthalpy and the turbulent terms. Self-similarity thus can be stated to be achievable to a very high degree in the compressible regime. Revealed by the analysis and confirmed by the DNS data, this state is predicted by the compressible pressure-gradient boundary-layer growth parameter
$\unicode[STIX]{x1D6EC}_{c}$
, which is similar to the incompressible one found by related incompressible studies. Using appropriate adaption,
$\unicode[STIX]{x1D6EC}_{c}$
values become comparable for compressible and incompressible pressure-gradient cases with similar wall-normal shear-stress distributions. The Rotta–Clauser parameter in its traditional form
$\unicode[STIX]{x1D6FD}_{K}=(\unicode[STIX]{x1D6FF}_{K}^{\ast }/\bar{\unicode[STIX]{x1D70F}}_{w})(\text{d}p_{e}/\text{d}x)$
with the kinematic (incompressible) displacement thickness
$\unicode[STIX]{x1D6FF}_{K}^{\ast }$
is shown to be a valid parameter of the form
$\unicode[STIX]{x1D6EC}_{c}$
and hence still is a good indicator for equilibrium flow in the compressible regime at the finite Reynolds numbers considered. Furthermore, the analysis reveals that the often neglected derivative of the length scale,
$\text{d}L_{0}/\text{d}x$
, can be incorporated, which was found to have an important influence on the scaling success of common ‘low-Reynolds-number’ DNS data; this holds for both incompressible and compressible flow. Especially for the scaling of the
$\bar{\unicode[STIX]{x1D70C}}\widetilde{u^{\prime \prime }v^{\prime \prime }}$
stress and thus also the wall shear stress
$\bar{\unicode[STIX]{x1D70F}}_{w}$
, the inclusion of
$\text{d}L_{0}/\text{d}x$
leads to palpable improvements.</abstract><cop>Cambridge</cop><pub>Cambridge University Press</pub><doi>10.1017/jfm.2019.672</doi><tpages>42</tpages><orcidid>https://orcid.org/0000-0002-5352-7442</orcidid><orcidid>https://orcid.org/0000-0002-2526-952X</orcidid><orcidid>https://orcid.org/0000-0001-9281-4279</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Boundary layers Collapse Compressible flow Computational fluid dynamics Computer simulation Data Direct numerical simulation Enthalpy Equilibrium flow Fluid flow Incompressible flow Mathematical models Parameters Pressure Pressure gradients Profiles Scaling Self-similarity Shear stress Turbulent boundary layer Wall shear stresses |
title | Self-similar compressible turbulent boundary layers with pressure gradients. Part 2. Self-similarity analysis of the outer layer |
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