On the implicit large eddy simulations of homogeneous decaying turbulence

https://doi.org/10.1016/j.jcp.2007.06.030Get rights and content

Abstract

Simulations of homogeneous decaying turbulence (HDT) in a periodic cube have been used to examine in a detailed and quantitative manner the behaviour of high-resolution and high-order methods in implicit large eddy simulation. Computations have been conducted at grid resolutions from 323 to 2563 for seven different high-resolution methods ranging from second-order to ninth-order spatial accuracy. The growth of the large scales, and dissipation of kinetic energy is captured well at resolutions greater than 323, or when using numerical methods of higher than third-order accuracy. Velocity increment probability distribution functions (PDFs) match experimental results very well for MUSCL methods, whereas WENO methods have lower intermittency. All pressure PDFs are essentially Gaussian, indicating a partial decoupling of pressure and vorticity fields. The kinetic energy spectra and effective numerical filter show that all schemes are too dissipative at high wave numbers. Evaluating the numerical viscosity as a spectral eddy viscosity shows good qualitative agreement with theory, however if the effective cut-off wave number is chosen above kmax/2 then dissipation is higher than the theoretical solution. The fifth and higher-order methods give results approximately equivalent to the lower order methods at double the grid resolution, making them computationally more efficient.

Introduction

As current computational power does not allow direct numerical simulation (DNS) of complex flows, LES has emerged as a viable alternative where the time dependent behaviour of the flow must be resolved. Conventional LES, where an explicit subgrid model is added to the averaged Navier–Stokes equations, has been employed successfully in many prototype flows, however it is known to provide excessive dissipation in flows where the growth of an initially small perturbation to fully turbulent flow must be resolved [1], [2]. It has been recognised that some numerical schemes gain good results in complex flows without the explicit addition of a subgrid model [1]. This occurs when the subgrid model is implicitly designed into the limiting method of the numerical scheme, based on the observation that an upwind numerical scheme can be rewritten as a central scheme plus a dissipative term (see [3], [4], [5] and references therein). Such implicit subgrid models fall into the class of structural models, as there is no assumed form of the nature of the subgrid flow thus the subgrid model is entirely determined by the structure of the resolved flow [6].

Using implicit LES (or ILES), excellent results have been gained in simulation of flows as varied as Rayleigh–Taylor and Richtmyer–Meshkov instability [7], [8], Free jets [9], [10], channel flow [10], open cavity flow [11], [3], geophysical flows [12], [13], delta wings [14] and decaying turbulence [15], [16], [17], [18], [19], [20]. Attempts to formalise the development of ILES numerical schemes is hindered by the inherent complexity of theoretical analysis of non-linear schemes, however, recent developments show some good agreements between truncation errors due to the numerical scheme and the required form of the subgrid terms [21], [5].

Several of these flows are of mixed compressible and incompressible nature, where a compressible method is required to capture certain flow features (e.g. shock waves), yet the turbulent vortices are near-incompressible. In experimental studies [22] the turbulent Mach number rarely exceeds 0.2. Thus it is of importance to assess the performance of Godunov-type schemes applied to low Mach number turbulence.

This paper assesses the performance of high-order Godunov-type methods for these applications, via simulations of low Mach number homogeneous decaying turbulence. The study does not intend to prove that ILES is a better approach than standard LES, based on explicit subgrid scale models, for the flow in question. It is intended as a starting point for future development by identifying quantitatively the strengths and weaknesses of high-resolution methods used in ILES by comparing the ILES results with experimental studies, DNS and previous conventional LES. It is a complementary extension of the work of Garnier et al. [23], where the ability of shock-capturing schemes was tested for resolutions up to 1283 and for six extrapolation methods from second to fifth-order. The authors concluded that the dissipation rate of the ILES methods is too high, and that the behaviour of the schemes is more akin to a low Reynolds DNS than an LES. In the present paper, the extrapolation methods employed are less diffusive and range from MUSCL second-order through to WENO ninth-order accurate. These are finite volume methods which differ in behaviour from the finite difference and flux limiting methods employed in [23]. Each of these extrapolation methods have been run on grids from 323 to 2563 to examine the behaviour and convergence (if any) of turbulent statistics and spectra.

The layout of the paper is as follows. Section 2 details the numerical scheme employed, the form of the implicit subgrid model, and the method used to initialise a homogeneous, isotropic turbulent field. The effect of non-zero compressibility in the flow field is discussed. Section 3 compares the quantitative behaviour of the seven ILES variants in terms of fundamental properties of a turbulent flow field; growth of the integral length scale; decay rate of turbulent kinetic energy; time variation of enstrophy; skewness and flatness of the velocity derivative; velocity increment and pressure fluctuation probability distribution functions; kinetic energy spectra; effective numerical filter and spectral numerical viscosity. Section 4 concludes this paper and discusses the areas for future development.

Section snippets

Governing equations

For all simulations in this paper it is considered that the Kolmogorov scale is significantly smaller that the mesh size, equivalent to stating that the viscous effects are negligible. Therefore, the Reynolds number Re = ∞ and the Navier–Stokes equations reduce to the Euler equations. The three-dimensional compressible Euler equations can be written in conservative variables and Cartesian co-ordinates asUt+Ex+Fy+Gz=0,whereU=[ρ,ρu,ρv,ρw,e]T,E=[ρu,ρu2+p,ρuv,ρuw,(e+p)u]T,F=[ρv,ρuv,ρv2+p,ρvw,(

Turbulent isotropy

It is important to quantify turbulent isotropy, as turbulent theory relies on this assumption to derive analytical expressions for kinetic energy decay rates and growth of the length scales. The integral length was calculated from the longitudinal and transverse energy spectra using [49], [50]L1=πurms2E11(k=0),L1=2πurms2E22(k=0),whereE11(k1)=1πu120dx1f(x1)cosk1x1,E22(k1)=1πu120dx1g(x1)cosk1x1,and f and g are the second-order longitudinal and lateral correlation functions relative to the

Conclusions

The ability of high-order finite volume Godunov-type ILES schemes to simulate isotropic, homogeneous decaying turbulence at low Mach number has been investigated quantitatively using a number of different parameters. The homogeneous isotropic flow field is initialised using the divergence of a vector potential to minimise the compressible component of the kinetic energy spectrum.

It has been demonstrated that the behaviour of the large scales is captured well at resolutions greater than 323, or

Acknowledgements

The authors thank David Youngs, Robin Williams, and Anthony Weatherhead (AWE, Aldermaston) and Evgeniy Shapiro (Fluid Mechanics and Computational Science Group, Cranfield University) for their advice and suggestions whilst developing the computer code. Additionally, they thank the reviewers for their insightful comments and suggestions. Finally, they acknowledge the financial support from EPSRC, MoD and AWE through the EPSRC(EP/C515153)-JGS (No. 971) project and the EPSRC-AWE PhD Case award.

References (87)

  • J. Zoltak et al.

    Hybrid upwind methods for the simulation of unsteady shock-wave diffraction over a cylinder

    Comput. Method Appl. M

    (1998)
  • C.-W. Shu et al.

    Efficient implementation of essentially non-oscillating shock-capturing schemes

    J. Comput. Phys.

    (1988)
  • C.-W. Shu et al.

    Efficient implementation of essentially non-oscillating shock-capturing schemes II

    J. Comput. Phys.

    (1989)
  • G.-S. Jiang et al.

    Efficient implementation of weighted ENO schemes

    J. Comput. Phys.

    (1996)
  • A. Harten et al.

    iii

    J. Comput. Phys.

    (1987)
  • M. Brachet

    Direct simulation of three-dimensional turbulence in the Taylor–Green vortex

    Fluid. Dyn. Res.

    (1991)
  • M. Ciardi et al.

    A dynamic finite volume scheme for large-eddy simulation on unstructured grids

    J. Comput. Phys.

    (2005)
  • M. Lesieur et al.

    New trends in large-eddy simulations of turbulence

    Annu. Rev. Fluid Mech.

    (1996)
  • S. Pope

    Turbulent Flows

    (2000)
  • D. Drikakis et al.

    High-resolution Methods for Incompressible and Low-speed Flows

    (2004)
  • P. Sagaut

    Large Eddy Simulation for Incompressible Flows

    (2001)
  • D. Youngs, Application of miles to Rayleigh–Taylor and Richtmyer–Meshkov Mixing,...
  • D. Youngs

    Three-dimensional numerical simulation of turbulent mixing by Rayleigh–Taylor instability

    Phys. Fluids A

    (1991)
  • F. Grinstein et al.

    Recent progress on miles for high Reynolds number flows

    J. Fluid Eng. – Trans. ASME

    (2002)
  • M. Hahn et al.

    Large eddy simulation of compressible turbulence using high-resolution method

    Int. J. Numer. Meth. Fl.

    (2005)
  • R. Gordnier et al.

    Compact different scheme applied to simulation of low-sweep delta wing flow

    AIAA J.

    (2005)
  • D. Drikakis, C. Fureby, F. Grinstein, M. Hahn, D. Youngs, Miles of transition to turbulence in the Taylor–Green vortex...
  • C. Fureby et al.

    A comparative study of subgrid scale models in homogeneous isotropic turbulence

    Phys. Fluids

    (1997)
  • D. Porter et al.

    Inertial range structures in decaying compressible turbulent flows

    Phys. Fluids

    (1998)
  • L. Margolin et al.

    Implicit turbulence modelling for high Reynolds number flows

    J. Fluids Eng.

    (2002)
  • L. Margolin et al.

    Modeling turbulent flow with implicit les

    J. Turbul.

    (2006)
  • J. Hinze

    Turbulence

    (1975)
  • A. Eberle, Characteristic flux averaging approach to the solution of euler’s equations, Technical Report, VKI Lecture...
  • S. Gottlieb et al.

    Total variation diminishing Runge–Kutta schemes

    Math. Comput.

    (1998)
  • E. Toro

    Riemann Solvers and Numerical Methods for Fluid Dynamics

    (1997)
  • L. Margolin et al.

    The design and construction of implicit les modes

    Int. J. Numer. Meth. Fl.

    (2005)
  • D. Carati et al.

    Exact expansions for filtered-scales modelling with a wide class of les filters

  • L. Margolin et al.

    A rationale for implicit turbulence modelling

    Int. J. Numer. Meth. Fl.

    (2002)
  • A. Kolmogorov

    The local structure of turbulence in an incompressible fluid at very high Reynolds numbers

    Dokl. Akad. Nauk. SSSR

    (1941)
  • A. Kolmogorov

    A refinement of previous hypotheses concerning the local structure of turbulence in a viscous incompressible fluid at high Reynolds number

    J. Fluid Mech.

    (1962)
  • F. Moisy et al.

    Kolmogorov equation in a fully developed turbulence experiment

    Phys. Rev. Lett.

    (1999)
  • H. Bethe, On the theory of shock waves for an arbitrary equation of state, Technical Report, Office of Scientific...
  • Cited by (104)

    • Numerical assessments of a parametric implicit large eddy simulation model

      2020, Journal of Computational and Applied Mathematics
    View all citing articles on Scopus
    View full text