Direct numerical simulation of turbulent pipe flow using the lattice Boltzmann method
In this paper, we present a first direct numerical simulation (DNS) of a turbulent pipe flow using the mesoscopic lattice Boltzmann method (LBM) on both a D3Q19 lattice grid and a D3Q27 lattice grid. DNS of turbulent pipe flows using LBM has never been reported previously, perhaps due to inaccuracy...
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Veröffentlicht in: | Journal of computational physics 2018-03, Vol.357, p.16-42 |
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description | In this paper, we present a first direct numerical simulation (DNS) of a turbulent pipe flow using the mesoscopic lattice Boltzmann method (LBM) on both a D3Q19 lattice grid and a D3Q27 lattice grid. DNS of turbulent pipe flows using LBM has never been reported previously, perhaps due to inaccuracy and numerical stability associated with the previous implementations of LBM in the presence of a curved solid surface. In fact, it was even speculated that the D3Q19 lattice might be inappropriate as a DNS tool for turbulent pipe flows. In this paper, we show, through careful implementation, accurate turbulent statistics can be obtained using both D3Q19 and D3Q27 lattice grids. In the simulation with D3Q19 lattice, a few problems related to the numerical stability of the simulation are exposed. Discussions and solutions for those problems are provided. The simulation with D3Q27 lattice, on the other hand, is found to be more stable than its D3Q19 counterpart. The resulting turbulent flow statistics at a friction Reynolds number of Reτ=180 are compared systematically with both published experimental and other DNS results based on solving the Navier–Stokes equations. The comparisons cover the mean-flow profile, the r.m.s. velocity and vorticity profiles, the mean and r.m.s. pressure profiles, the velocity skewness and flatness, and spatial correlations and energy spectra of velocity and vorticity. Overall, we conclude that both D3Q19 and D3Q27 simulations yield accurate turbulent flow statistics. The use of the D3Q27 lattice is shown to suppress the weak secondary flow pattern in the mean flow due to numerical artifacts. |
doi_str_mv | 10.1016/j.jcp.2017.11.040 |
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DNS of turbulent pipe flows using LBM has never been reported previously, perhaps due to inaccuracy and numerical stability associated with the previous implementations of LBM in the presence of a curved solid surface. In fact, it was even speculated that the D3Q19 lattice might be inappropriate as a DNS tool for turbulent pipe flows. In this paper, we show, through careful implementation, accurate turbulent statistics can be obtained using both D3Q19 and D3Q27 lattice grids. In the simulation with D3Q19 lattice, a few problems related to the numerical stability of the simulation are exposed. Discussions and solutions for those problems are provided. The simulation with D3Q27 lattice, on the other hand, is found to be more stable than its D3Q19 counterpart. The resulting turbulent flow statistics at a friction Reynolds number of Reτ=180 are compared systematically with both published experimental and other DNS results based on solving the Navier–Stokes equations. The comparisons cover the mean-flow profile, the r.m.s. velocity and vorticity profiles, the mean and r.m.s. pressure profiles, the velocity skewness and flatness, and spatial correlations and energy spectra of velocity and vorticity. Overall, we conclude that both D3Q19 and D3Q27 simulations yield accurate turbulent flow statistics. The use of the D3Q27 lattice is shown to suppress the weak secondary flow pattern in the mean flow due to numerical artifacts.</description><identifier>ISSN: 0021-9991</identifier><identifier>EISSN: 1090-2716</identifier><identifier>DOI: 10.1016/j.jcp.2017.11.040</identifier><language>eng</language><publisher>Cambridge: Elsevier Inc</publisher><subject>Computational fluid dynamics ; Computational physics ; Computer simulation ; Direct numerical simulation ; Energy spectra ; Fluid flow ; Lattice Boltzmann method ; Mathematical models ; Navier-Stokes equations ; Numerical stability ; Pipe flow ; Reynolds number ; Secondary flow ; Simulation ; Statistics ; Turbulent flow ; Turbulent pipe flow ; Turbulent statistics ; Vorticity</subject><ispartof>Journal of computational physics, 2018-03, Vol.357, p.16-42</ispartof><rights>2017 Elsevier Inc.</rights><rights>Copyright Elsevier Science Ltd. Mar 15, 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-a45cca7cece3f7b5473895d4cf646910c309b05d6625338b81f65b261075949a3</citedby><cites>FETCH-LOGICAL-c434t-a45cca7cece3f7b5473895d4cf646910c309b05d6625338b81f65b261075949a3</cites><orcidid>0000-0003-4562-459X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jcp.2017.11.040$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Peng, Cheng</creatorcontrib><creatorcontrib>Geneva, Nicholas</creatorcontrib><creatorcontrib>Guo, Zhaoli</creatorcontrib><creatorcontrib>Wang, Lian-Ping</creatorcontrib><title>Direct numerical simulation of turbulent pipe flow using the lattice Boltzmann method</title><title>Journal of computational physics</title><description>In this paper, we present a first direct numerical simulation (DNS) of a turbulent pipe flow using the mesoscopic lattice Boltzmann method (LBM) on both a D3Q19 lattice grid and a D3Q27 lattice grid. DNS of turbulent pipe flows using LBM has never been reported previously, perhaps due to inaccuracy and numerical stability associated with the previous implementations of LBM in the presence of a curved solid surface. In fact, it was even speculated that the D3Q19 lattice might be inappropriate as a DNS tool for turbulent pipe flows. In this paper, we show, through careful implementation, accurate turbulent statistics can be obtained using both D3Q19 and D3Q27 lattice grids. In the simulation with D3Q19 lattice, a few problems related to the numerical stability of the simulation are exposed. Discussions and solutions for those problems are provided. The simulation with D3Q27 lattice, on the other hand, is found to be more stable than its D3Q19 counterpart. The resulting turbulent flow statistics at a friction Reynolds number of Reτ=180 are compared systematically with both published experimental and other DNS results based on solving the Navier–Stokes equations. The comparisons cover the mean-flow profile, the r.m.s. velocity and vorticity profiles, the mean and r.m.s. pressure profiles, the velocity skewness and flatness, and spatial correlations and energy spectra of velocity and vorticity. Overall, we conclude that both D3Q19 and D3Q27 simulations yield accurate turbulent flow statistics. The use of the D3Q27 lattice is shown to suppress the weak secondary flow pattern in the mean flow due to numerical artifacts.</description><subject>Computational fluid dynamics</subject><subject>Computational physics</subject><subject>Computer simulation</subject><subject>Direct numerical simulation</subject><subject>Energy spectra</subject><subject>Fluid flow</subject><subject>Lattice Boltzmann method</subject><subject>Mathematical models</subject><subject>Navier-Stokes equations</subject><subject>Numerical stability</subject><subject>Pipe flow</subject><subject>Reynolds number</subject><subject>Secondary flow</subject><subject>Simulation</subject><subject>Statistics</subject><subject>Turbulent flow</subject><subject>Turbulent pipe flow</subject><subject>Turbulent statistics</subject><subject>Vorticity</subject><issn>0021-9991</issn><issn>1090-2716</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kE1PhDAQhhujievqD_DWxDM4A6XQePJbExMvem6gFLcEWmyLRn-9rOvZ01ze552Zh5BThBQB-Xmf9mpKM8AyRUyBwR5ZIQhIshL5PlkBZJgIIfCQHIXQA0BVsGpFXm-M1ypSO4_aG1UPNJhxHuponKWuo3H2zTxoG-lkJk27wX3SORj7RuNG0yUXjdL0yg3xe6ytpaOOG9cek4OuHoI--Ztr8np3-3L9kDw93z9eXz4liuUsJjUrlKpLpZXOu7IpWJlXomiZ6jjjAkHlIBooWs6zIs-rpsKOF03GEcpCMFHna3K26528e591iLJ3s7fLSplBvrwMWSWWFO5SyrsQvO7k5M1Y-y-JILf2ZC8Xe3JrTyLKxd7CXOwYvZz_YbSXQRltlW5_fcnWmX_oHxfkd3U</recordid><startdate>20180315</startdate><enddate>20180315</enddate><creator>Peng, Cheng</creator><creator>Geneva, Nicholas</creator><creator>Guo, Zhaoli</creator><creator>Wang, Lian-Ping</creator><general>Elsevier Inc</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0003-4562-459X</orcidid></search><sort><creationdate>20180315</creationdate><title>Direct numerical simulation of turbulent pipe flow using the lattice Boltzmann method</title><author>Peng, Cheng ; Geneva, Nicholas ; Guo, Zhaoli ; Wang, Lian-Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-a45cca7cece3f7b5473895d4cf646910c309b05d6625338b81f65b261075949a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computational fluid dynamics</topic><topic>Computational physics</topic><topic>Computer simulation</topic><topic>Direct numerical simulation</topic><topic>Energy spectra</topic><topic>Fluid flow</topic><topic>Lattice Boltzmann method</topic><topic>Mathematical models</topic><topic>Navier-Stokes equations</topic><topic>Numerical stability</topic><topic>Pipe flow</topic><topic>Reynolds number</topic><topic>Secondary flow</topic><topic>Simulation</topic><topic>Statistics</topic><topic>Turbulent flow</topic><topic>Turbulent pipe flow</topic><topic>Turbulent statistics</topic><topic>Vorticity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peng, Cheng</creatorcontrib><creatorcontrib>Geneva, Nicholas</creatorcontrib><creatorcontrib>Guo, Zhaoli</creatorcontrib><creatorcontrib>Wang, Lian-Ping</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of computational physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peng, Cheng</au><au>Geneva, Nicholas</au><au>Guo, Zhaoli</au><au>Wang, Lian-Ping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Direct numerical simulation of turbulent pipe flow using the lattice Boltzmann method</atitle><jtitle>Journal of computational physics</jtitle><date>2018-03-15</date><risdate>2018</risdate><volume>357</volume><spage>16</spage><epage>42</epage><pages>16-42</pages><issn>0021-9991</issn><eissn>1090-2716</eissn><abstract>In this paper, we present a first direct numerical simulation (DNS) of a turbulent pipe flow using the mesoscopic lattice Boltzmann method (LBM) on both a D3Q19 lattice grid and a D3Q27 lattice grid. DNS of turbulent pipe flows using LBM has never been reported previously, perhaps due to inaccuracy and numerical stability associated with the previous implementations of LBM in the presence of a curved solid surface. In fact, it was even speculated that the D3Q19 lattice might be inappropriate as a DNS tool for turbulent pipe flows. In this paper, we show, through careful implementation, accurate turbulent statistics can be obtained using both D3Q19 and D3Q27 lattice grids. In the simulation with D3Q19 lattice, a few problems related to the numerical stability of the simulation are exposed. Discussions and solutions for those problems are provided. The simulation with D3Q27 lattice, on the other hand, is found to be more stable than its D3Q19 counterpart. The resulting turbulent flow statistics at a friction Reynolds number of Reτ=180 are compared systematically with both published experimental and other DNS results based on solving the Navier–Stokes equations. 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subjects | Computational fluid dynamics Computational physics Computer simulation Direct numerical simulation Energy spectra Fluid flow Lattice Boltzmann method Mathematical models Navier-Stokes equations Numerical stability Pipe flow Reynolds number Secondary flow Simulation Statistics Turbulent flow Turbulent pipe flow Turbulent statistics Vorticity |
title | Direct numerical simulation of turbulent pipe flow using the lattice Boltzmann method |
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