An approximate deconvolution model for large-eddy simulation with application to incompressible wall-bounded flows

S. Stolz, N. A. Adams, L. Kleiser

Research output: Contribution to journalArticlepeer-review

426 Scopus citations

Abstract

The approximate deconvolution model (ADM) for the large-eddy simulation of incompressible flows is detailed and applied to turbulent channel flow. With this approach an approximation of the unfiltered solution is obtained by repeated filtering. Given a good approximation of the unfiltered solution, the nonlinear terms of the filtered Navier-Stokes equations can be computed directly. The effect of nonrepresented scales is modeled by a relaxation regularization involving a secondary filter operation. Large-eddy simulations are performed for incompressible channel flow at Reynolds numbers based on the friction velocity and the channel half-width of ReT= 180 and ReT= 590. Both simulations compare well with direct numerical simulation (DNS) data and show a significant improvement over results obtained with classical subgrid scale models such as the standard or the dynamic Smagorinsky model. The computational cost of ADM is lower than that of dynamic models or the velocity estimation model.

Original languageEnglish
Pages (from-to)997-1015
Number of pages19
JournalPhysics of Fluids
Volume13
Issue number4
DOIs
StatePublished - 2001
Externally publishedYes

Fingerprint

Dive into the research topics of 'An approximate deconvolution model for large-eddy simulation with application to incompressible wall-bounded flows'. Together they form a unique fingerprint.

Cite this