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Error Estimates for the Smagorinsky Turbulence Model: Enhanced Stability Through Scale Separation and Numerical Stabilization
UCL, Dept Math, London WC1E 6BT, England..
Jönköping University, School of Engineering, JTH, Materials and Manufacturing.ORCID iD: 0000-0001-7352-1550
Umea Univ, Dept Math & Math Stat, S-90187 Umea, Sweden..
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 L-2-norm for smooth flows in the pre-asymptotic high Reynolds number regime.

Place, publisher, year, edition, pages
Springer, 2022. Vol. 24, no 1, article id 5
Keywords [en]
Navier-Stokes' equations, Trubulence modelling, LES, Smagorinsky model, Stabilized finite element
National Category
Mathematics
Identifiers
URN: urn:nbn:se:hj:diva-55150DOI: 10.1007/s00021-021-00633-8ISI: 000718277700001Scopus ID: 2-s2.0-85119322075Local ID: HOA;intsam;778862OAI: oai:DiVA.org:hj-55150DiVA, id: diva2:1614291
Funder
Swedish Research Council, 2018-05262European Commission, 2017-03911Available from: 2021-11-25 Created: 2021-11-25 Last updated: 2021-11-29Bibliographically approved

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Hansbo, Peter

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