The modeling capabilities of the Lagrangian Averaged Navier-Stokes-
equations (LANS-
) is investigated in statistically stationary
three-dimensional homogeneous and isotropic turbulence.
The predictive abilities of the LANS-
equations are analyzed
by comparison with DNS data.
Two different forcing techniques were implemented to model the energetics
of the energy containing scales.
The resolved flow is examined by comparison of the energy spectra of
the LANS-
and the DNS computations;
furthermore, the correlation between the vorticity and the eigenvectors
of the rate of the resolved strain tensor is studied.
We find that the LANS-
equations captures the gross features of the flow while
the wave activity below a given scale
is filtered by the non-linear dispersion.