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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/16821
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dc.contributor.authorFarazmand, M.-
dc.contributor.authorKevlahan, N.K.-R.-
dc.contributor.authorProtas, B.-
dc.date.accessioned2015-03-18T15:14:40Z-
dc.date.available2015-03-18T15:14:40Z-
dc.date.issued2010-11-30-
dc.identifier.citationFarazmand, M.M., Kevlahan, N.K.-R. & Protas, P. 2011 Controlling the dual cascade of two-dimensional turbulence. J. Fluid Mech. 668, 202-222.en_US
dc.identifier.otherdoi:10.1017/S0022112010004635-
dc.identifier.urihttp://hdl.handle.net/11375/16821-
dc.description.abstractThe Kraichnan–Leith–Batchelor (KLB) theory of statistically stationary forced homogeneous isotropic two-dimensional turbulence predicts the existence of two inertial ranges: an energy inertial range with an energy spectrum scaling of k−5/3, and an enstrophy inertial range with an energy spectrum scaling of k−3. However, unlike the analogous Kolmogorov theory for three-dimensional turbulence, the scaling of the enstrophy range in the two-dimensional turbulence seems to be Reynolds-number- dependent: numerical simulations have shown that as Reynolds number tends to infinity, the enstrophy range of the energy spectrum converges to the KLB prediction, i.e. E ∼ k−3. The present paper uses a novel optimal control approach to find a forcing that does produce the KLB scaling of the energy spectrum in a moderate Reynolds number flow. We show that the time–space structure of the forcing can significantly alter the scaling of the energy spectrum over inertial ranges. A careful analysis of the optimal forcing suggests that it is unlikely to be realized in nature, or by a simple numerical model.en_US
dc.description.sponsorshipNSERCen_US
dc.language.isoenen_US
dc.publisherCambridge University Pressen_US
dc.relation.ispartofseriesJ. Fluid Mech.;-
dc.subjectturbulence controlen_US
dc.subjectturbulence simulationen_US
dc.subjectturbulence theoryen_US
dc.titleControlling the dual cascade of two-dimensional turbulenceen_US
dc.typeArticleen_US
Appears in Collections:Mathematics & Statistics Publications

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