Leray and LANS-$α$ modeling of turbulent mixing

Nonlinear Sciences – Chaotic Dynamics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

42 pages, 12 figures

Scientific paper

10.1080/14685240500501601

Mathematical regularisation of the nonlinear terms in the Navier-Stokes equations provides a systematic approach to deriving subgrid closures for numerical simulations of turbulent flow. By construction, these subgrid closures imply existence and uniqueness of strong solutions to the corresponding modelled system of equations. We will consider the large eddy interpretation of two such mathematical regularisation principles, i.e., Leray and LANS$-\alpha$ regularisation. The Leray principle introduces a {\bfi smoothed transport velocity} as part of the regularised convective nonlinearity. The LANS$-\alpha$ principle extends the Leray formulation in a natural way in which a {\bfi filtered Kelvin circulation theorem}, incorporating the smoothed transport velocity, is explicitly satisfied. These regularisation principles give rise to implied subgrid closures which will be applied in large eddy simulation of turbulent mixing. Comparison with filtered direct numerical simulation data, and with predictions obtained from popular dynamic eddy-viscosity modelling, shows that these mathematical regularisation models are considerably more accurate, at a lower computational cost.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Leray and LANS-$α$ modeling of turbulent mixing does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Leray and LANS-$α$ modeling of turbulent mixing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Leray and LANS-$α$ modeling of turbulent mixing will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-39977

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.