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An efficient Very Large Eddy Simulation model for simulation of turbulent flow

Xingsi Han (Institutionen för tillämpad mekanik, Strömningslära) ; Sinisa Krajnovic (Institutionen för tillämpad mekanik, Strömningslära)
International Journal for Numerical Methods in Fluids (0271-2091). Vol. 71 (2013), 11, p. 1341-1360.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: very large eddy simulation (VLES), hybrid turbulence method, unified simulation approach, turbulence modeling

Denna post skapades 2012-07-20. Senast ändrad 2014-09-29.
CPL Pubid: 160676


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Institutioner (Chalmers)

Institutionen för tillämpad mekanik, Strömningslära (2005-2017)


Innovation och entreprenörskap (nyttiggörande)

Chalmers infrastruktur

C3SE/SNIC (Chalmers Centre for Computational Science and Engineering)