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Direct numerical simulation of a zero-pressure-gradient turbulent boundary layer with passive scalars up to Prandtl number Pr=6
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics. KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, Centres, SeRC - Swedish e-Science Research Centre.ORCID iD: 0000-0002-0906-3687
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, Centres, SeRC - Swedish e-Science Research Centre. KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics.ORCID iD: 0000-0002-8589-1572
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, Centres, SeRC - Swedish e-Science Research Centre. KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics. Friedrich Alexander Univ, Inst Fluid Mech, Erlangen, Germany..ORCID iD: 0000-0001-9627-5903
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, Centres, SeRC - Swedish e-Science Research Centre. KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics.ORCID iD: 0000-0001-6570-5499
2023 (English)In: Journal of Fluid Mechanics, ISSN 0022-1120, E-ISSN 1469-7645, Vol. 974, article id A49Article in journal (Refereed) Published
Abstract [en]

The objective of the present study is to provide a numerical database of thermal boundary layers and to contribute to the understanding of the dynamics of passive scalars at different Prandtl numbers. In this regard, a direct numerical simulation (DNS) of an incompressible zero-pressure-gradient turbulent boundary layer is performed with the Reynolds number based on momentum thickness Re-theta ranging up to 1080. Four passive scalars, characterized by the Prandtl numbers Pr=1,2,4,6 are simulated using the pseudo-spectral code SIMSON (Chevalier et al., SIMSON : a pseudo-spectral solver for incompressible boundary layer flows. Tech. Rep. TRITA-MEK 2007:07. KTH Mechanics, Stockholm, Sweden, 2007). To the best of our knowledge, the present DNS provides the thermal boundary layer with the highest Prandtl number available in the literature. It corresponds to that of water at similar to 24(degrees)C, when the fluid temperature is considered as a passive scalar. Turbulence statistics for the flow and thermal fields are computed and compared with available numerical simulations at similar Reynolds numbers. The mean flow and scalar profiles, root-mean-squared velocity and scalar fluctuations, turbulent heat flux, turbulent Prandtl number and higher-order statistics agree well with the numerical data reported in the literature. Furthermore, the pre-multiplied two-dimensional spectra of the velocity and of the passive scalars are computed, providing a quantitative description of the energy distribution at the different length scales for various wall-normal locations. The energy distribution of the heat-flux fields at the wall is concentrated on longer temporal structures with increasing Prandtl number. This is due to the thinner thermal boundary layer as thermal diffusivity decreases and, thereby, the longer temporal structures exhibit a different footprint at the wall.

Place, publisher, year, edition, pages
Cambridge University Press (CUP) , 2023. Vol. 974, article id A49
Keywords [en]
turbulent boundary layers
National Category
Fluid Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-341539DOI: 10.1017/jfm.2023.803ISI: 001099726500001Scopus ID: 2-s2.0-85177988450OAI: oai:DiVA.org:kth-341539DiVA, id: diva2:1822250
Note

QC 20231222

Available from: 2023-12-22 Created: 2023-12-22 Last updated: 2025-02-09Bibliographically approved

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Geetha Balasubramanian, ArivazhaganGuastoni, LucaSchlatter, PhilippVinuesa, Ricardo

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Geetha Balasubramanian, ArivazhaganGuastoni, LucaSchlatter, PhilippVinuesa, Ricardo
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Fluid Mechanics and Engineering AcousticsLinné Flow Center, FLOWSeRC - Swedish e-Science Research Centre
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