A new approach to wall modeling in LES of incompressible flow via function enrichment

Benjamin Krank, Wolfgang A. Wall

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


A novel approach to wall modeling for the incompressible Navier-Stokes equations including flows of moderate and large Reynolds numbers is presented. The basic idea is that a problem-tailored function space allows prediction of turbulent boundary layer gradients with very coarse meshes. The proposed function space consists of a standard polynomial function space plus an enrichment, which is constructed using Spalding's law-of-the-wall. The enrichment function is not enforced but "allowed" in a consistent way and the overall methodology is much more general and also enables other enrichment functions. The proposed method is closely related to detached-eddy simulation as near-wall turbulence is modeled statistically and large eddies are resolved in the bulk flow. Interpreted in terms of a three-scale separation within the variational multiscale method, the standard scale resolves large eddies and the enrichment scale represents boundary layer turbulence in an averaged sense. The potential of the scheme is shown applying it to turbulent channel flow of friction Reynolds numbers from Reτ=590 and up to 5,000, flow over periodic constrictions at the Reynolds numbers ReH=10, 595 and 19,000 as well as backward-facing step flow at Reh=5, 000, all with extremely coarse meshes. Excellent agreement with experimental and DNS data is observed with the first grid point located at up to y1+=500 and especially under adverse pressure gradients as well as in separated flows.

Original languageEnglish
Pages (from-to)94-116
Number of pages23
JournalJournal of Computational Physics
StatePublished - 1 Jul 2016


  • Detached-eddy simulation
  • Function enrichment
  • Large-eddy simulation
  • Law-of-the-wall
  • Wall modeling
  • XFEM


Dive into the research topics of 'A new approach to wall modeling in LES of incompressible flow via function enrichment'. Together they form a unique fingerprint.

Cite this