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7 - Simulating Compressible Turbulent Flow with PPM

from SECTION C - VERIFICATION AND VALIDATION

Published online by Cambridge University Press:  08 January 2010

Fernando F. Grinstein
Affiliation:
Los Alamos National Laboratory
Len G. Margolin
Affiliation:
Los Alamos National Laboratory
William J. Rider
Affiliation:
Los Alamos National Laboratory
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Summary

Introduction

The use of the piecewise parabolic method (PPM) gas dynamics simulation scheme is described in detail in Chapter 4b and used in Chapter 15 (see also Woodward and Colella 1981, 1984; Collela and Woodward 1984; Woodward 1986, 2005). Here we review applications of PPM to turbulent flow problems. In particular, we focus our attention on simulations of homogeneous, compressible, periodic, decaying turbulence. The motivation for this focus is that if the phenomenon of turbulence is indeed universal, we should find within this single problem a complete variety of particular circumstances. If we choose to ignore any potential dependence on the gas equation of state, choosing to adopt the gamma law with γ = 1.4 that applies to air, we are then left with a one-parameter family of turbulent flows. This single parameter is the root-mean-square (rms) Mach number of the flow. We note that a decaying turbulent flow that begins at, say, Mach 1 will, as it decays, pass through all Mach numbers between that value and zero. Of course, we will have arbitrary possible entropy variations to deal with, but turbulence itself will tend to mix different entropy values, so that these entropy variations may not prove to be as important as we might think. In all our simulations of such homogeneous turbulence, we begin the simulation with a uniform state of density and sound speed unity and average velocity zero. We perturb this uniform state with randomly selected sinusoidal velocity variations sampled from a distribution peaked on a wavelength equal to half that of our periodic cubical simulation domain.

Type
Chapter
Information
Implicit Large Eddy Simulation
Computing Turbulent Fluid Dynamics
, pp. 245 - 264
Publisher: Cambridge University Press
Print publication year: 2007

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