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Error Estimates for the Smagorinsky Turbulence Model: Enhanced Stability Through Scale Separation and Numerical Stabilization
Department of Mathematics, University College London, WC1E 6BT, London, United Kingdom.
Department of Mechanical Engineering, Jönköping University, Jönköping, Sweden.
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
2022 (English)In: Journal of Mathematical Fluid Mechanics, ISSN 1422-6928, E-ISSN 1422-6952, Vol. 24, no 1, article id 5Article in journal (Refereed) Published
Abstract [en]

In the present work we show some results on the effect of the Smagorinsky model on the stability of the associated perturbation equation. We show that in the presence of a spectral gap, such that the flow can be decomposed in a large scale with moderate gradient and a small amplitude fine scale with arbitratry gradient, the Smagorinsky model admits stability estimates for perturbations, with exponential growth depending only on the large scale gradient. We then show in the context of stabilized finite element methods that the same result carries over to the approximation and that in this context, for suitably chosen finite element spaces the Smagorinsky model acts as a stabilizer yielding close to optimal error estimates in the L2-norm for smooth flows in the pre-asymptotic high Reynolds number regime.

Place, publisher, year, edition, pages
Birkhäuser Verlag, 2022. Vol. 24, no 1, article id 5
Keywords [en]
LES, Navier-Stokes’ equations, Smagorinsky model, Stabilized finite element, Trubulence modelling
National Category
Fluid Mechanics
Identifiers
URN: urn:nbn:se:umu:diva-189933DOI: 10.1007/s00021-021-00633-8ISI: 000718277700001Scopus ID: 2-s2.0-85119322075OAI: oai:DiVA.org:umu-189933DiVA, id: diva2:1615348
Funder
Swedish Research Council, 2017-03911Swedish Research Council, 2018-05262Available from: 2021-11-30 Created: 2021-11-30 Last updated: 2025-02-09Bibliographically approved

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Larson, Mats G.

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