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Session: Large Eddy Simulation 2

Session starts: Thursday 27 August, 15:00

Presentation starts: 15:45

Room: Room E

*William Sidebottom (The University of Melbourne)*

Olivier Cabrit (The University of Melbourne)

Ivan Marusic (The University of Melbourne)

Charles Meneveau (Johns Hopkins University)

Andrew Ooi (The University of Melbourne)

David Jones (Defence Science and Technology Organisation)

Abstract:

The computational cost of wall-resolved large-eddy simulations (LES) rapidly becomes prohibitive with increasing Reynolds number. Wall-modelled LES attempts to significantly reduce the computational cost of simulating wall-bounded turbulent flows by modelling the effect of the near-wall small-scale motions, rather than fully or partially resolving them. The present study concentrates on a new wall-model that is able to predict fluctuating wall-shear stress given a large-scale velocity input. The velocity input for the model is affected by the choice of subgrid-scale (SGS) model. Therefore, this study also focusses on the impact of the SGS-model on the distribution of quantities at the wall. Results show that the new wall-model is able to resolve more of the wall shear-stress variance than a standard wall-model; and that the SGS-model affects the distribution of fluctuations of both wall-shear stress and wall-pressure.

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*William Sidebottom, Olivier Cabrit, Ivan Marusic, Charles Meneveau, Andrew Ooi, David Jones*

15:45

15 mins

The influence of subgrid-scale modelling on the performance of a new non-equilibrium wall-model for large-eddy simulation
15 mins

Session starts: Thursday 27 August, 15:00

Presentation starts: 15:45

Room: Room E

Olivier Cabrit (The University of Melbourne)

Ivan Marusic (The University of Melbourne)

Charles Meneveau (Johns Hopkins University)

Andrew Ooi (The University of Melbourne)

David Jones (Defence Science and Technology Organisation)

Abstract:

The computational cost of wall-resolved large-eddy simulations (LES) rapidly becomes prohibitive with increasing Reynolds number. Wall-modelled LES attempts to significantly reduce the computational cost of simulating wall-bounded turbulent flows by modelling the effect of the near-wall small-scale motions, rather than fully or partially resolving them. The present study concentrates on a new wall-model that is able to predict fluctuating wall-shear stress given a large-scale velocity input. The velocity input for the model is affected by the choice of subgrid-scale (SGS) model. Therefore, this study also focusses on the impact of the SGS-model on the distribution of quantities at the wall. Results show that the new wall-model is able to resolve more of the wall shear-stress variance than a standard wall-model; and that the SGS-model affects the distribution of fluctuations of both wall-shear stress and wall-pressure.