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dc.contributor.authorZhang, Tao
dc.contributor.authorSun, Shuyu
dc.date.accessioned2018-08-29T06:41:31Z
dc.date.available2018-08-29T06:41:31Z
dc.date.issued2018-06-12
dc.identifier.citationZhang T, Sun S (2018) A Compact and Efficient Lattice Boltzmann Scheme to Simulate Complex Thermal Fluid Flows. Computational Science – ICCS 2018: 149–162. Available: http://dx.doi.org/10.1007/978-3-319-93713-7_12.
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.doi10.1007/978-3-319-93713-7_12
dc.identifier.urihttp://hdl.handle.net/10754/628322
dc.description.abstractA coupled LBGK scheme, constituting of two independent distribution functions describing velocity and temperature respectively, is established in this paper. Chapman-Enskog expansion, a procedure to prove the consistency of this mesoscopic method with macroscopic conservation laws, is also conducted for both lattice scheme of velocity and temperature, as well as a simple introduction on the common used DnQb model. An efficient coding manner for Matlab is proposed in this paper, which improves the coding and calculation efficiency at the same time. The compact and efficient scheme is then applied in the simulation of the famous and well-studied Rayleigh-Benard convection, which is common seen as a representative heat convection problem in modern industries. The results are interesting and reasonable, and meet the experimental data well. The stability of this scheme is also proved through different cases with a large range of Rayleigh number, until 2 million.
dc.publisherSpringer Nature
dc.relation.urlhttps://link.springer.com/chapter/10.1007%2F978-3-319-93713-7_12
dc.rightsArchived with thanks to Computational Science – ICCS 2018
dc.subjectHeat and flow coupling
dc.subjectLBM
dc.subjectRayleigh-Benard convection
dc.titleA Compact and Efficient Lattice Boltzmann Scheme to Simulate Complex Thermal Fluid Flows
dc.typeConference Paper
dc.contributor.departmentComputational Transport Phenomena Lab
dc.identifier.journalComputational Science – ICCS 2018
dc.conference.date2018-06-11 to 2018-06-13
dc.conference.name18th International Conference on Computational Science, ICCS 2018
dc.conference.locationWuxi, CHN
dc.eprint.versionPost-print
kaust.personZhang, Tao
kaust.personSun, Shuyu
refterms.dateFOA2018-08-29T08:25:55Z
dc.date.published-online2018-06-12
dc.date.published-print2018


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