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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of computational physics 2018-03, Vol.357, p.16-42
Hauptverfasser: Peng, Cheng, Geneva, Nicholas, Guo, Zhaoli, Wang, Lian-Ping
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 42
container_issue
container_start_page 16
container_title Journal of computational physics
container_volume 357
creator Peng, Cheng
Geneva, Nicholas
Guo, Zhaoli
Wang, Lian-Ping
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
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2030210289</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S002199911730904X</els_id><sourcerecordid>2030210289</sourcerecordid><originalsourceid>FETCH-LOGICAL-c434t-a45cca7cece3f7b5473895d4cf646910c309b05d6625338b81f65b261075949a3</originalsourceid><addsrcrecordid>eNp9kE1PhDAQhhujievqD_DWxDM4A6XQePJbExMvem6gFLcEWmyLRn-9rOvZ01ze552Zh5BThBQB-Xmf9mpKM8AyRUyBwR5ZIQhIshL5PlkBZJgIIfCQHIXQA0BVsGpFXm-M1ypSO4_aG1UPNJhxHuponKWuo3H2zTxoG-lkJk27wX3SORj7RuNG0yUXjdL0yg3xe6ytpaOOG9cek4OuHoI--Ztr8np3-3L9kDw93z9eXz4liuUsJjUrlKpLpZXOu7IpWJlXomiZ6jjjAkHlIBooWs6zIs-rpsKOF03GEcpCMFHna3K26528e591iLJ3s7fLSplBvrwMWSWWFO5SyrsQvO7k5M1Y-y-JILf2ZC8Xe3JrTyLKxd7CXOwYvZz_YbSXQRltlW5_fcnWmX_oHxfkd3U</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2030210289</pqid></control><display><type>article</type><title>Direct numerical simulation of turbulent pipe flow using the lattice Boltzmann method</title><source>Access via ScienceDirect (Elsevier)</source><creator>Peng, Cheng ; Geneva, Nicholas ; Guo, Zhaoli ; Wang, Lian-Ping</creator><creatorcontrib>Peng, Cheng ; Geneva, Nicholas ; Guo, Zhaoli ; Wang, Lian-Ping</creatorcontrib><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><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 &amp; 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. 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.</abstract><cop>Cambridge</cop><pub>Elsevier Inc</pub><doi>10.1016/j.jcp.2017.11.040</doi><tpages>27</tpages><orcidid>https://orcid.org/0000-0003-4562-459X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0021-9991
ispartof Journal of computational physics, 2018-03, Vol.357, p.16-42
issn 0021-9991
1090-2716
language eng
recordid cdi_proquest_journals_2030210289
source Access via ScienceDirect (Elsevier)
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T18%3A24%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Direct%20numerical%20simulation%20of%20turbulent%20pipe%20flow%20using%20the%20lattice%20Boltzmann%20method&rft.jtitle=Journal%20of%20computational%20physics&rft.au=Peng,%20Cheng&rft.date=2018-03-15&rft.volume=357&rft.spage=16&rft.epage=42&rft.pages=16-42&rft.issn=0021-9991&rft.eissn=1090-2716&rft_id=info:doi/10.1016/j.jcp.2017.11.040&rft_dat=%3Cproquest_cross%3E2030210289%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2030210289&rft_id=info:pmid/&rft_els_id=S002199911730904X&rfr_iscdi=true