Tracer particle dispersion around elementary flow patterns
The motion of tracer particles is kinematically simulated around three elementary flow patterns; a Burgers vortex, a shear-layer structure with coincident vortices and a node-saddle topology. These patterns are representative for their broader class of coherent structures in turbulence. Therefore, e...
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description | The motion of tracer particles is kinematically simulated around three elementary flow patterns; a Burgers vortex, a shear-layer structure with coincident vortices and a node-saddle topology. These patterns are representative for their broader class of coherent structures in turbulence. Therefore, examining the dispersion in these elementary structures can improve the general understanding of turbulent dispersion at short time scales. The shear-layer structure and the node-saddle topology exhibit similar pair dispersion statistics compared to the actual turbulent flow for times up to
$3{-}10\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
, where,
$\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
is the Kolmogorov time scale. However, oscillations are observed for the pair dispersion in the Burgers vortex. Furthermore, all three structures exhibit Batchelor’s scaling. Richardson’s scaling was observed for initial particle pair separations
$r_{0}\leqslant 4\unicode[STIX]{x1D702}$
for the shear-layer topology and the node-saddle topology and was related to the formation of the particle sheets. Moreover, the material line orientation statistics for the shear-layer and node-saddle topology are similar to the actual turbulent flow statistics, up to at least
$4\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
. However, only the shear-layer structure can explain the non-perpendicular preferential alignment between the material lines and the direction of the most compressive strain, as observed in actual turbulence. This behaviour is due to shear-layer vorticity, which rotates the particle sheet generated by straining motions and causes the particles to spread in the direction of compressive strain also. The material line statistics in the Burgers vortex clearly differ, due to the presence of two compressive principal straining directions as opposed to two stretching directions in the shear-layer structure and the node-saddle topology. The tetrad dispersion statistics for the shear-layer structure qualitatively capture the behaviour of the shape parameters as observed in actual turbulence. In particular, it shows the initial development towards planar shapes followed by a return to more volumetric tetrads at approximately
$10\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
, which is associated with the particles approaching the vortices inside the shear layer. However, a large deviation is observed in such behaviour in the node-saddle topology and the Burgers vor |
doi_str_mv | 10.1017/jfm.2018.146 |
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$3{-}10\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
, where,
$\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
is the Kolmogorov time scale. However, oscillations are observed for the pair dispersion in the Burgers vortex. Furthermore, all three structures exhibit Batchelor’s scaling. Richardson’s scaling was observed for initial particle pair separations
$r_{0}\leqslant 4\unicode[STIX]{x1D702}$
for the shear-layer topology and the node-saddle topology and was related to the formation of the particle sheets. Moreover, the material line orientation statistics for the shear-layer and node-saddle topology are similar to the actual turbulent flow statistics, up to at least
$4\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
. However, only the shear-layer structure can explain the non-perpendicular preferential alignment between the material lines and the direction of the most compressive strain, as observed in actual turbulence. This behaviour is due to shear-layer vorticity, which rotates the particle sheet generated by straining motions and causes the particles to spread in the direction of compressive strain also. The material line statistics in the Burgers vortex clearly differ, due to the presence of two compressive principal straining directions as opposed to two stretching directions in the shear-layer structure and the node-saddle topology. The tetrad dispersion statistics for the shear-layer structure qualitatively capture the behaviour of the shape parameters as observed in actual turbulence. In particular, it shows the initial development towards planar shapes followed by a return to more volumetric tetrads at approximately
$10\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
, which is associated with the particles approaching the vortices inside the shear layer. However, a large deviation is observed in such behaviour in the node-saddle topology and the Burgers vortex. It is concluded that the results for the Burgers vortex deviated the most from actual turbulence and the node-saddle topology dispersion exhibits some similarities, but does not capture the geometrical features associated with material lines and tetrad dispersion. Finally, the dispersion around the shear-layer structure shows many quantitative (until 2–
$4\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
) and qualitative (until
$20\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
) similarities to the actual turbulence.</description><identifier>ISSN: 0022-1120</identifier><identifier>EISSN: 1469-7645</identifier><identifier>DOI: 10.1017/jfm.2018.146</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Analogies ; Compressive properties ; Computational fluid dynamics ; Direction ; Dispersion ; Flow distribution ; Flow pattern ; Flow velocity ; Fluid flow ; Fluids ; JFM Papers ; Lines ; Orientation ; Oscillations ; Reynolds number ; Scaling ; Shear ; Statistical methods ; Statistics ; Structures ; Tetrads ; Topology ; Tracer particles ; Tracers ; Turbulence ; Turbulent flow ; Vortices ; Vorticity</subject><ispartof>Journal of fluid mechanics, 2018-05, Vol.843, p.872-897</ispartof><rights>2018 Cambridge University Press</rights><rights>2018 Cambridge University Press This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c443t-7a4b585d2385cd3f131fce777cea4cad36f605b5a875aa3e025b604b53b6138c3</citedby><cites>FETCH-LOGICAL-c443t-7a4b585d2385cd3f131fce777cea4cad36f605b5a875aa3e025b604b53b6138c3</cites><orcidid>0000-0003-2946-6560 ; 0000-0001-6717-5284</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0022112018001465/type/journal_article$$EHTML$$P50$$Gcambridge$$Hfree_for_read</linktohtml><link.rule.ids>164,314,776,780,27901,27902,55603</link.rule.ids></links><search><creatorcontrib>Goudar, Manu V.</creatorcontrib><creatorcontrib>Elsinga, Gerrit E.</creatorcontrib><title>Tracer particle dispersion around elementary flow patterns</title><title>Journal of fluid mechanics</title><addtitle>J. Fluid Mech</addtitle><description>The motion of tracer particles is kinematically simulated around three elementary flow patterns; a Burgers vortex, a shear-layer structure with coincident vortices and a node-saddle topology. These patterns are representative for their broader class of coherent structures in turbulence. Therefore, examining the dispersion in these elementary structures can improve the general understanding of turbulent dispersion at short time scales. The shear-layer structure and the node-saddle topology exhibit similar pair dispersion statistics compared to the actual turbulent flow for times up to
$3{-}10\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
, where,
$\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
is the Kolmogorov time scale. However, oscillations are observed for the pair dispersion in the Burgers vortex. Furthermore, all three structures exhibit Batchelor’s scaling. Richardson’s scaling was observed for initial particle pair separations
$r_{0}\leqslant 4\unicode[STIX]{x1D702}$
for the shear-layer topology and the node-saddle topology and was related to the formation of the particle sheets. Moreover, the material line orientation statistics for the shear-layer and node-saddle topology are similar to the actual turbulent flow statistics, up to at least
$4\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
. However, only the shear-layer structure can explain the non-perpendicular preferential alignment between the material lines and the direction of the most compressive strain, as observed in actual turbulence. This behaviour is due to shear-layer vorticity, which rotates the particle sheet generated by straining motions and causes the particles to spread in the direction of compressive strain also. The material line statistics in the Burgers vortex clearly differ, due to the presence of two compressive principal straining directions as opposed to two stretching directions in the shear-layer structure and the node-saddle topology. The tetrad dispersion statistics for the shear-layer structure qualitatively capture the behaviour of the shape parameters as observed in actual turbulence. In particular, it shows the initial development towards planar shapes followed by a return to more volumetric tetrads at approximately
$10\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
, which is associated with the particles approaching the vortices inside the shear layer. However, a large deviation is observed in such behaviour in the node-saddle topology and the Burgers vortex. It is concluded that the results for the Burgers vortex deviated the most from actual turbulence and the node-saddle topology dispersion exhibits some similarities, but does not capture the geometrical features associated with material lines and tetrad dispersion. Finally, the dispersion around the shear-layer structure shows many quantitative (until 2–
$4\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
) and qualitative (until
$20\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
) similarities to the actual turbulence.</description><subject>Analogies</subject><subject>Compressive properties</subject><subject>Computational fluid dynamics</subject><subject>Direction</subject><subject>Dispersion</subject><subject>Flow distribution</subject><subject>Flow pattern</subject><subject>Flow velocity</subject><subject>Fluid flow</subject><subject>Fluids</subject><subject>JFM Papers</subject><subject>Lines</subject><subject>Orientation</subject><subject>Oscillations</subject><subject>Reynolds number</subject><subject>Scaling</subject><subject>Shear</subject><subject>Statistical methods</subject><subject>Statistics</subject><subject>Structures</subject><subject>Tetrads</subject><subject>Topology</subject><subject>Tracer particles</subject><subject>Tracers</subject><subject>Turbulence</subject><subject>Turbulent flow</subject><subject>Vortices</subject><subject>Vorticity</subject><issn>0022-1120</issn><issn>1469-7645</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>IKXGN</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkE1LxDAQhoMouK7e_AEFr7ZOkqZpvcniqrDgZT2HNJ1Il3456SL-e7PsghcvM5fnfWd4GLvlkHHg-mHn-0wALzOeF2dsEWeV6iJX52wBIETKuYBLdhXCDoBLqPSCPW7JOqRksjS3rsOkacOEFNpxSCyN-6FJsMMeh9nST-K78Tui84w0hGt24W0X8Oa0l-xj_bxdvaab95e31dMmdXku51TbvFalaoQslWuk55J7h1prhzZ3tpGFL0DVypZaWSsRhKoLiBlZF1yWTi7Z3bF3ovFrj2E2u3FPQzxpBMTSUlYVj9T9kXI0hkDozURtH582HMzBjol2zMGOiV4inp1w29fUNp_41_pv4Bcst2b2</recordid><startdate>20180525</startdate><enddate>20180525</enddate><creator>Goudar, Manu V.</creator><creator>Elsinga, Gerrit E.</creator><general>Cambridge University Press</general><scope>IKXGN</scope><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/0000-0003-2946-6560</orcidid><orcidid>https://orcid.org/0000-0001-6717-5284</orcidid></search><sort><creationdate>20180525</creationdate><title>Tracer particle dispersion around elementary flow patterns</title><author>Goudar, Manu V. ; Elsinga, Gerrit E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-7a4b585d2385cd3f131fce777cea4cad36f605b5a875aa3e025b604b53b6138c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Analogies</topic><topic>Compressive properties</topic><topic>Computational fluid dynamics</topic><topic>Direction</topic><topic>Dispersion</topic><topic>Flow distribution</topic><topic>Flow pattern</topic><topic>Flow velocity</topic><topic>Fluid flow</topic><topic>Fluids</topic><topic>JFM Papers</topic><topic>Lines</topic><topic>Orientation</topic><topic>Oscillations</topic><topic>Reynolds number</topic><topic>Scaling</topic><topic>Shear</topic><topic>Statistical methods</topic><topic>Statistics</topic><topic>Structures</topic><topic>Tetrads</topic><topic>Topology</topic><topic>Tracer particles</topic><topic>Tracers</topic><topic>Turbulence</topic><topic>Turbulent flow</topic><topic>Vortices</topic><topic>Vorticity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Goudar, Manu V.</creatorcontrib><creatorcontrib>Elsinga, Gerrit E.</creatorcontrib><collection>Cambridge University Press Wholly Gold Open Access Journals</collection><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 Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>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 Korea</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</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>Research Library</collection><collection>Science Database</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>Goudar, Manu V.</au><au>Elsinga, Gerrit E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tracer particle dispersion around elementary flow patterns</atitle><jtitle>Journal of fluid mechanics</jtitle><addtitle>J. Fluid Mech</addtitle><date>2018-05-25</date><risdate>2018</risdate><volume>843</volume><spage>872</spage><epage>897</epage><pages>872-897</pages><issn>0022-1120</issn><eissn>1469-7645</eissn><abstract>The motion of tracer particles is kinematically simulated around three elementary flow patterns; a Burgers vortex, a shear-layer structure with coincident vortices and a node-saddle topology. These patterns are representative for their broader class of coherent structures in turbulence. Therefore, examining the dispersion in these elementary structures can improve the general understanding of turbulent dispersion at short time scales. The shear-layer structure and the node-saddle topology exhibit similar pair dispersion statistics compared to the actual turbulent flow for times up to
$3{-}10\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
, where,
$\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
is the Kolmogorov time scale. However, oscillations are observed for the pair dispersion in the Burgers vortex. Furthermore, all three structures exhibit Batchelor’s scaling. Richardson’s scaling was observed for initial particle pair separations
$r_{0}\leqslant 4\unicode[STIX]{x1D702}$
for the shear-layer topology and the node-saddle topology and was related to the formation of the particle sheets. Moreover, the material line orientation statistics for the shear-layer and node-saddle topology are similar to the actual turbulent flow statistics, up to at least
$4\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
. However, only the shear-layer structure can explain the non-perpendicular preferential alignment between the material lines and the direction of the most compressive strain, as observed in actual turbulence. This behaviour is due to shear-layer vorticity, which rotates the particle sheet generated by straining motions and causes the particles to spread in the direction of compressive strain also. The material line statistics in the Burgers vortex clearly differ, due to the presence of two compressive principal straining directions as opposed to two stretching directions in the shear-layer structure and the node-saddle topology. The tetrad dispersion statistics for the shear-layer structure qualitatively capture the behaviour of the shape parameters as observed in actual turbulence. In particular, it shows the initial development towards planar shapes followed by a return to more volumetric tetrads at approximately
$10\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
, which is associated with the particles approaching the vortices inside the shear layer. However, a large deviation is observed in such behaviour in the node-saddle topology and the Burgers vortex. It is concluded that the results for the Burgers vortex deviated the most from actual turbulence and the node-saddle topology dispersion exhibits some similarities, but does not capture the geometrical features associated with material lines and tetrad dispersion. Finally, the dispersion around the shear-layer structure shows many quantitative (until 2–
$4\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
) and qualitative (until
$20\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}$
) similarities to the actual turbulence.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><doi>10.1017/jfm.2018.146</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0003-2946-6560</orcidid><orcidid>https://orcid.org/0000-0001-6717-5284</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analogies Compressive properties Computational fluid dynamics Direction Dispersion Flow distribution Flow pattern Flow velocity Fluid flow Fluids JFM Papers Lines Orientation Oscillations Reynolds number Scaling Shear Statistical methods Statistics Structures Tetrads Topology Tracer particles Tracers Turbulence Turbulent flow Vortices Vorticity |
title | Tracer particle dispersion around elementary flow patterns |
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