Two-point spectral model for variable-density homogeneous turbulence

Spectral reduction for two-dimensional turbulence

A new method for predicting the statistical properties of fluid turbulence, called Spectral Reduction, is described. Collections of Fourier wavenumbers are represented by certain nonuniformly spaced sample modes that interact via enhanced coupling coefficients. The approximation reduces to the exact Navier–Stokes equation as a control parameter, the number of fundamental wavenumbers associated ...

The Lagrangian spectral relaxation model for differential diffusion in homogeneous turbulence

The Lagrangian spectral relaxation ~LSR! model is extended to treat turbulent mixing of two passive scalars (fa and fb) with different molecular diffusivity coefficients ~i.e., differential-diffusion effects!. Because of the multiscale description employed in the LSR model, the scale dependence of differential-diffusion effects is described explicitly, including the generation of scalar decorre...

Decay of homogeneous two-dimensional quantum turbulence

The Lagrangian spectral relaxation model of the scalar dissipation in homogeneous turbulence

The spectral relaxation model of the scalar dissipation rate in homogeneous turbulence