Analysis of errors occurring in large eddy simulation

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    We analyse the effect of second- and fourth-order accurate central finite-volume discretizations on the outcome of large eddy simulations of homogeneous, isotropic, decaying turbulence at an initial Taylor Reynolds number $Re_\lambda=100.$ We determine the implicit filter that is induced by the spatial discretization and show that a higher order discretization also induces a higher order filter, i.e. a low-pass filter that keeps a wider range of flow scales virtually unchanged. The effectiveness of the implicit filtering is correlated with the optimal refinement strategy as observed in an error-landscape analysis based on Smagorinsky's subfilter model. As a point of reference, a finite-volume method that is second-order accurate for both the convective and the viscous fluxes in the Navier-Stokes equations is used. We observe that changing to a fourth-order accurate convective discretization leads to a higher value of the Smagorinsky coefficient $C_S$ required to achieve minimal total error at given resolution. Conversely, changing only the viscous flux discretization to fourth-order accuracy implies that optimal simulation results are obtained at lower values of $C_S.$ Finally, a fully fourth-order discretization yields an optimal $C_S$ that is slightly lower than the reference fully second-order method.
    Original languageUndefined
    Article number10.1098/rsta.2009.0001
    Pages (from-to)2873-2883
    Number of pages11
    JournalPhilosophical transactions of the Royal Society A- mathematical physical and engineering sciences
    Issue number1899
    Publication statusPublished - Jul 2009


    • Large eddy simulation
    • EWI-17244
    • Finite-volume discretization
    • Implicit filter
    • IR-69809
    • Turbulence
    • Smagorinsky model
    • METIS-264479
    • Error landscape

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