An efficient Very Large Eddy Simulation model for simulation of turbulent flow
Artikel i vetenskaplig tidskrift, 2013

Among the various hybrid methodologies, Speziale’s very large eddy simulation (VLES) is one that was proposed very early. It is a unified simulation approach that can change seamlessly from Reynolds Averaged Navier–Stokes (RANS) to direct numerical simulation (DNS) depending on the numerical resolution. The present study proposes a new improved variant of the original VLES model. The advantages are achieved in two ways: (i) RANS simulation can be recovered near the wall which is similar to the detached eddy simula- tion concept; (ii) a LES subgrid scale model can be reached by the introduction of a third length scale, that is, the integral turbulence length scale. Thus, the new model can provide a proper LES mode between the RANS and DNS limits. This new methodology is implemented in the standard k " model. Applications are con- ducted for the turbulent channel flow at Reynolds number of Re D 395, periodic hill flow at Re D 10, 595, and turbulent flow past a square cylinder at Re D 22, 000. In comparison with the available experimen- tal data, DNS or LES, the new VLES model produces better predictions than the original VLES model. Furthermore, it is demonstrated that the new method is quite efficient in resolving the large flow structures and can give satisfactory predictions on a coarse mesh.

hybrid turbulence method

unified simulation approach

turbulence modeling

very large eddy simulation (VLES)

Författare

Xingsi Han

Chalmers, Tillämpad mekanik, Strömningslära

Sinisa Krajnovic

Chalmers, Tillämpad mekanik, Strömningslära

International Journal for Numerical Methods in Fluids

0271-2091 (ISSN) 1097-0363 (eISSN)

Vol. 71 11 1341-1360

Fundament

Grundläggande vetenskaper

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

Drivkrafter

Innovation och entreprenörskap

Ämneskategorier

Annan fysik

Strömningsmekanik och akustik

DOI

10.1002/fld.3714

Mer information

Skapat

2017-10-07