CDS/CIMMS Lunchtime Series: Multiresolution Modeling and Simulation of Turbulence

Marie Farge and Kai Schneider, LMD-CNRS, ENS, Paris, and Universite de Provence, Marseille, respectively

Turbulence is characterized by its nonlinear and multiscale behaviour, self-organization into coherent structures and  generic randomness. The number of active spatial and temporal scales involved increases with the Reynolds number, therefore it soon becomes prohibitive for direct numerical simulation.  However, observations show that for a given flow realization  these scales are not homogeneously distributed, neither in space nor in time, which corresponds to the flow intermittency. To be able to benefit from this property, a suitable representation of the flow should reflect the lacunarity of the fine scale activity, in both space and time.  

A prominent tool for multiscale decompositions are wavelets. A  wavelet is a well localized oscillating smooth function, i.e. a wave packet, which is dilated and translated. The thus obtained wavelet family allows to decompose a flow field into orthogonal scale-space contributions. The flow intermittency is reflected in the sparsity of the wavelet representation, i.e. only few coefficients, the strongest ones, are necessary  to represent the dynamically active part of the flow. We will illustrate this by considering different 2D and 3D turbulent   flows, either computed by direct numerical simulation (DNS) or measured by particle image velocimetry (PIV).  

To compute the evolution of turbulent flows we have proposed   the Coherent Vortex Simulation (CVS), which is based on the   wavelet filtered Navier-Stokes equations. At each time step the turbulent fluctuations are split into two orthogonal   parts: the first corresponding to the coherent vortices which  are kept, and the second to an incoherent background flow  corresponding to turbulent dissipation which is discarded. We  will present several simulations of 2D and 3D turbulent flows and show that CVS preserves their nonlinear dynamics.    Related publications can be downloaded from the following web  page:    
http://wavelets.ens.fr