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The use of experimental data as the inlet to direct numerical simulations of turbulent channel flow

ORAL

Abstract

In the direct numerical simulation (DNS) of turbulence it is the large scales that require large computational domains and long simulation times to attain the correct statistically stationary state. In contrast experimental measurements struggle to resolve down to the dissipative flow scales, but have far less trouble capturing the large scales. In this work we demonstrate how large scale information from planar experimental measurements can be fed into a turbulent channel flows DNS to reduce the required computational time and domain for a given friction Reynolds number. The effect of inlet resolution and required spanwise extent are examined by generating synthetic experimental fields from streamwise periodic channel flow DNS at Re$\tau =$180 and 550 and using this data as the inlet to a channel flow DNS with inlet-outlet boundary conditions. When fully resolved inlet data is used the streamwise domain of the inlet-outlet DNS can be reduced to 1/16 of the periodic domain with minimal influence on the flow statistics and can even withstand a halving of the spanwise domain.

Authors

  • Callum Atkinson

    LTRAC, DMAE, Monash University

  • Ezhilsabareesh Kannadasan

    LTRAC, DMAE, Monash University

  • Adrian Lozano-Duran

    Center for Turbulence Research, Stanford University, Stanford University, Center Turbulence Research, Stanford University, Center for Turbulence Research, Stanford University, California 94305

  • Peter Schmid

    Imperial College London, Imperial College of London, Department of Mathematics, Imperial College London

  • Javier Jimenez

    Universidad Politecnica de Madrid, E.T.S. Ingenieros Aeronauticos, Universidad Politecnica de Madrid, Universidad Polit\'ecnica de Madrid, E.T.S. Ingenieros Aeronauticos

  • Julio Soria

    Laboratory for Turbulence Research in Aerospace \& Combustion (LTRAC), Monash University, LTRAC, DMAE, Monash University, Department of Mechanical \& Aerospace Engineering, Monash University, Australia