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Alpha sub-grid scale models of turbulence and inviscid regularization

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In recent years many analytical sub-grid scale models of turbulence were introduced based on the Navier—Stokes-alpha model (also known as a viscous Camassa—Holm equations or the Lagrangian Averaged Navier—Stokes-alpha (LANS-alpha)). Some of these are the Leray-alpha, the modified Leray-alpha, the simplified Bardina-alpha and the Clark-alpha models. In this talk I will show the global well-posedness of these models and provide estimates for the dimension of their global attractors, and relate these estimates to the relevant physical parameters. Furthermore, I will show that up to certain wave number in the inertial range the energy power spectra of these models obey the Kolmogorov -5/3 power law, however, for the rest the inertial range the energy spectra are much steeper.

In addition, I will show that by using these alpha models as closure models to the Reynolds averaged equations of the Navier—Stokes one gets very good agreement with empirical and numerical data of turbulent flows for a wide range of huge Reynolds numbers in infinite pipes and channels.

It will also be observed that, unlike the three-dimensional Euler equations and other inviscid alpha models, the inviscid simplified Bardina model has global regular solutions for all initial data. Inspired by this observation I will introduce new inviscid regularizing schemes for the three-dimensional Euler, Navier–Stokes and MHD equations, which does not require, in the viscous case, any additional boundary conditions. This same kind of inviscid regularization is also used to regularize the Surface Quasi-Geostrophic model.

Finally, and based on the alpha regularization I will present, if time allows, some error estimates for the rate of convergence of the alpha models to the Navier–Stokes equations, and will also present new approximation of vortex sheets dynamics.

This talk is part of the Applied and Computational Analysis series.

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