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Simulation of heat and mass transfer in turbulent channel flow using the spectral-element method: Effect of spatial resolution
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, School of Engineering Sciences (SCI), Mechanics. KTH, Centres, SeRC - Swedish e-Science Research Centre.ORCID iD: 0000-0001-6570-5499
2016 (English)In: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 754, no 6, article id 062009Article in journal (Refereed) Published
Abstract [en]

We use the open-source code nek5000 to assess the accuracy of high-order spectral element large-eddy simulations (LES) of a turbulent channel flow depending on the spatial resolution compared to the direct numerical simulation (DNS). The Reynolds number Re = 6800 is considered based on the bulk velocity and half-width of the channel. The filtered governing equations are closed with the dynamic Smagorinsky model for subgrid stresses and heat flux. The results show very good agreement between LES and DNS for time-averaged velocity and temperature profiles and their fluctuations. Even the coarse LES grid which contains around 30 times less points than the DNS one provided predictions of the friction velocity within 2.0% accuracy interval. © Published under licence by IOP Publishing Ltd.

Place, publisher, year, edition, pages
Institute of Physics (IOP), 2016. Vol. 754, no 6, article id 062009
Keywords [en]
Channel flow, Computational fluid dynamics, Fluid dynamics, Heat flux, Hydrodynamics, Image resolution, Large eddy simulation, Numerical methods, Open source software, Open systems, Reynolds number, Dynamic Smagorinsky models, Governing equations, Heat and mass transfer, Spatial resolution, Spectral element method, Temperature profiles, Time-averaged velocity, Turbulent channel flows, Mass transfer
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-202281DOI: 10.1088/1742-6596/754/6/062009Scopus ID: 2-s2.0-85006077903OAI: oai:DiVA.org:kth-202281DiVA, id: diva2:1075753
Conference
19 September 2016 through 25 September 2016
Note

Funding text: This work is funded by the Russian Science Foundation grant No. 14-19-01685. QC 20170221

Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2017-11-29Bibliographically approved

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Vinuesa, Ricardo

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