One-point turbulence structure tensors
The dynamics of the evolution of turbulence statistics depend on the structure of the turbulence. For example, wavenumber anisotropy in homogeneous turbulence is known to affect both the interaction between large and small scales (Kida & Hunt 1989), and the non-local effects of the pressure–stra...
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| Veröffentlicht in: | Journal of fluid mechanics 2001-02, Vol.428, p.213-248 |
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| container_title | Journal of fluid mechanics |
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| creator | KASSINOS, S. C. REYNOLDS, W. C. ROGERS, M. M. |
| description | The dynamics of the evolution of turbulence statistics depend on the structure of
the turbulence. For example, wavenumber anisotropy in homogeneous turbulence is
known to affect both the interaction between large and small scales (Kida & Hunt
1989), and the non-local effects of the pressure–strain-rate correlation in the one-point
Reynolds stress equations (Reynolds 1989; Cambon et al. 1992). Good quantitative
measures of turbulence structure are easy to construct using two-point or spectral
data, but one-point measures are needed for the Reynolds-averaged modelling of
engineering flows. Here we introduce a systematic framework for exploring the role of
turbulence structure in the evolution of one-point turbulence statistics. Five one-point
statistical measures of the energy-containing turbulence structure are introduced and
used with direct numerical simulations to analyse the role of turbulence structure
in several cases of homogeneous and inhomogeneous turbulence undergoing diverse
modes of mean deformation. The one-point structure tensors are found to be useful
descriptors of turbulence structure, and lead to a deeper understanding of some rather
surprising observations from DNS and experiments. |
| doi_str_mv | 10.1017/S0022112000002615 |
| format | Article |
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the turbulence. For example, wavenumber anisotropy in homogeneous turbulence is
known to affect both the interaction between large and small scales (Kida & Hunt
1989), and the non-local effects of the pressure–strain-rate correlation in the one-point
Reynolds stress equations (Reynolds 1989; Cambon et al. 1992). Good quantitative
measures of turbulence structure are easy to construct using two-point or spectral
data, but one-point measures are needed for the Reynolds-averaged modelling of
engineering flows. Here we introduce a systematic framework for exploring the role of
turbulence structure in the evolution of one-point turbulence statistics. Five one-point
statistical measures of the energy-containing turbulence structure are introduced and
used with direct numerical simulations to analyse the role of turbulence structure
in several cases of homogeneous and inhomogeneous turbulence undergoing diverse
modes of mean deformation. The one-point structure tensors are found to be useful
descriptors of turbulence structure, and lead to a deeper understanding of some rather
surprising observations from DNS and experiments.</description><identifier>ISSN: 0022-1120</identifier><identifier>EISSN: 1469-7645</identifier><identifier>DOI: 10.1017/S0022112000002615</identifier><identifier>CODEN: JFLSA7</identifier><language>eng</language><publisher>Cambridge: Cambridge University Press</publisher><subject>Anisotropy ; Computational fluid dynamics ; Evolution ; Exact sciences and technology ; Fluid dynamics ; Fluid flow ; Fundamental areas of phenomenology (including applications) ; Isotropic turbulence; homogeneous turbulence ; Mathematical analysis ; Physics ; Statistics ; Tensors ; Turbulence ; Turbulence simulation and modeling ; Turbulent flow ; Turbulent flows, convection, and heat transfer</subject><ispartof>Journal of fluid mechanics, 2001-02, Vol.428, p.213-248</ispartof><rights>2001 Cambridge University Press</rights><rights>2001 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c559t-869b4480ef4ea7d118333038ff073572c7c98589173284050b682f3881b43edb3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0022112000002615/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,777,781,27905,27906,55609</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=878220$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>KASSINOS, S. C.</creatorcontrib><creatorcontrib>REYNOLDS, W. C.</creatorcontrib><creatorcontrib>ROGERS, M. M.</creatorcontrib><title>One-point turbulence structure tensors</title><title>Journal of fluid mechanics</title><addtitle>J. Fluid Mech</addtitle><description>The dynamics of the evolution of turbulence statistics depend on the structure of
the turbulence. For example, wavenumber anisotropy in homogeneous turbulence is
known to affect both the interaction between large and small scales (Kida & Hunt
1989), and the non-local effects of the pressure–strain-rate correlation in the one-point
Reynolds stress equations (Reynolds 1989; Cambon et al. 1992). Good quantitative
measures of turbulence structure are easy to construct using two-point or spectral
data, but one-point measures are needed for the Reynolds-averaged modelling of
engineering flows. Here we introduce a systematic framework for exploring the role of
turbulence structure in the evolution of one-point turbulence statistics. Five one-point
statistical measures of the energy-containing turbulence structure are introduced and
used with direct numerical simulations to analyse the role of turbulence structure
in several cases of homogeneous and inhomogeneous turbulence undergoing diverse
modes of mean deformation. The one-point structure tensors are found to be useful
descriptors of turbulence structure, and lead to a deeper understanding of some rather
surprising observations from DNS and experiments.</description><subject>Anisotropy</subject><subject>Computational fluid dynamics</subject><subject>Evolution</subject><subject>Exact sciences and technology</subject><subject>Fluid dynamics</subject><subject>Fluid flow</subject><subject>Fundamental areas of phenomenology (including applications)</subject><subject>Isotropic turbulence; homogeneous turbulence</subject><subject>Mathematical analysis</subject><subject>Physics</subject><subject>Statistics</subject><subject>Tensors</subject><subject>Turbulence</subject><subject>Turbulence simulation and modeling</subject><subject>Turbulent flow</subject><subject>Turbulent flows, convection, and heat transfer</subject><issn>0022-1120</issn><issn>1469-7645</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kFtLw0AQhRdRsF5-gG9FQX2Jzt4nj1IvFcVSL8_LZruRaJrU3QT035vQoqDovAzD-WY4cwjZo3BCgerTBwDGKGXQF1NUrpEBFSpNtBJynQx6Oen1TbIV4wsA5ZDqATmcVD5Z1EXVDJs2ZG3pK-eHsQmt62Y_bHwV6xB3yEZuy-h3V32bPF1ePI7Gye3k6np0dps4KdMmQZVmQiD4XHirZ5Qi5xw45jloLjVz2qUoMaWaMxQgIVPIco5IM8H9LOPb5Gh5dxHqt9bHxsyL6HxZ2srXbTSogKdKCujI439JqgTjXQIgO3T_B_pSt6Hq_jCMAiIKxjqILiEX6hiDz80iFHMbPgwF00dsfkXc7RysDtvobJkHW7kifi2iRsZ6p8mSKmLj379UG16N0lxLo66m5vxyPL65n94Z7Hi-cmLnWShmz_7b799ePgHY8ZS9</recordid><startdate>20010210</startdate><enddate>20010210</enddate><creator>KASSINOS, S. 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C.</au><au>REYNOLDS, W. C.</au><au>ROGERS, M. M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>One-point turbulence structure tensors</atitle><jtitle>Journal of fluid mechanics</jtitle><addtitle>J. Fluid Mech</addtitle><date>2001-02-10</date><risdate>2001</risdate><volume>428</volume><spage>213</spage><epage>248</epage><pages>213-248</pages><issn>0022-1120</issn><eissn>1469-7645</eissn><coden>JFLSA7</coden><abstract>The dynamics of the evolution of turbulence statistics depend on the structure of
the turbulence. For example, wavenumber anisotropy in homogeneous turbulence is
known to affect both the interaction between large and small scales (Kida & Hunt
1989), and the non-local effects of the pressure–strain-rate correlation in the one-point
Reynolds stress equations (Reynolds 1989; Cambon et al. 1992). Good quantitative
measures of turbulence structure are easy to construct using two-point or spectral
data, but one-point measures are needed for the Reynolds-averaged modelling of
engineering flows. Here we introduce a systematic framework for exploring the role of
turbulence structure in the evolution of one-point turbulence statistics. Five one-point
statistical measures of the energy-containing turbulence structure are introduced and
used with direct numerical simulations to analyse the role of turbulence structure
in several cases of homogeneous and inhomogeneous turbulence undergoing diverse
modes of mean deformation. The one-point structure tensors are found to be useful
descriptors of turbulence structure, and lead to a deeper understanding of some rather
surprising observations from DNS and experiments.</abstract><cop>Cambridge</cop><pub>Cambridge University Press</pub><doi>10.1017/S0022112000002615</doi><tpages>36</tpages></addata></record> |
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| language | eng |
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| source | Cambridge Journals |
| subjects | Anisotropy Computational fluid dynamics Evolution Exact sciences and technology Fluid dynamics Fluid flow Fundamental areas of phenomenology (including applications) Isotropic turbulence homogeneous turbulence Mathematical analysis Physics Statistics Tensors Turbulence Turbulence simulation and modeling Turbulent flow Turbulent flows, convection, and heat transfer |
| title | One-point turbulence structure tensors |
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