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Figure1 (a) Iso-surfaces of velocity-gradient invariant (QD) measured in square-duct turbulent flow. QD = - 0.70 (light surfaces), and QD = +0.70 (dark surfaces). The mean flow is along the x-axis. (b) Measured joint-PDF of gradient tensor invariants and . Also indicated are sketches of the local flow structures implied by pairs (RD,QD ). (For more information, see van der Bos, Tao, Meneveau & Katz 2002). |
Dynamics of velocity gradient tensor in turbulent flows F. Van der Bos, B. Tao, C. Meneveau & J. Katz A recently completed project focused on trying to understand how the small scale eddies of turbulence affect the evolution of the large-scale turbulence. Specifically, we were interested in quantifying how the large-scale velocity gradients (differences in velocity along differerent spatial directions) are affected. We asked the following question: What is the effect of subgrid-scales (SGS) on the evolution of the resolved (filtered) velocity gradient tensor Aij? This tensor is defined as duj/dxi, where uj is the filtered velocity vector. Aij includes both the strain-rate and the rotation (vorticity) and provides a characterization of the flow structure at the smallest of the resolved scales in Large Eddy Simulations of turbulence (LES). One desirable goal for LES and turbulence models is that the topology of (e.g. eigenvalue structure, alignment between vorticity and strain-rates, etc..) be correctly predicted in simulations. Both DNS and our earlier experimental data (Tao et al. 2002a,b) have shown that Aij follows similar trends as those exhibited by the unfiltered velocity gradient tensor. For instance, a clear preference for axisymmetric extension (i.e. the preferred deformation is to generate pancakes as opposed to tubes), and for the vorticity to be aligned with the intermediate strain-rate eigenvector. These basic trends can be explained by an elegant analysis of the governing equations, as shown by the work of Vieillefosse (1982) and Cantwell (1992). Assuming an isotropic pressure Hessian, the analysis leads to the so-called restricted Euler (RE) system, which is amenable to analytical solution. It tends to a state in which the vorticity is indeed aligned with the intermediate strain-rate eigenvector and the deformation generates pancakes as opposed to tubes, hence explaining the basic observations. However, the solution then goes on to become singular (infinite velocity gradients) in finite time. This unphysical feature is prevented in reality by the deviatoric part of the pressure Hessian.
The effects of the
SGS motions can be evaluated from data by measuring the conditional averages
of various contractions of the SGS force-gradient, conditioned upon these
invariants. We show that these conditional averages uniquely characterize
the evolution of the joint-PDF of the invariants, and that they can be
measured from 3D-HPIV data in turbulent duct flow. Figure 1a shows two
iso-surfaces of QD measured from one of the
HPIV data sets. The blue (dark) levels are high positive values of QD
(where vorticity dominates over strain), indicating tubular topology.
The yellow (lighter) regions are where QD is
negative (where strain dominates over vorticity), showing a more blob-like
structure. Figure 1b shows the measured joint PDF of the two invariants.
The long tail at positive and negative indicates the preferred state of
axisymmetric extension and the vorticity aligned with the intermediate
strain-rate eigenvector (Vieillefosse tail). This work is funded
by the Office
of Naval Research (Dr. P Purtell, program manager).
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Figure 2(a) Vector field arising from the deterministic dynamics in (RD,QD) plane of invariants of filtered velocity gradients (restricted Euler flow). (b): Vector field arising from the gradients of the SGS force, resisting the RE flow in the right lower quadrant.(For more information, see van der Bos, Tao, Meneveau & Katz 2002). |
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Charles Meneveau, Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore MD 21218, USA, Phone: 1-410-516-7802, Fax: 1-(410) 516-7254, email: meneveau@jhu.edu |
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Last
update:
02/20/2008
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