[GTP] GTP MMM - Seminar at NCAR Thursday December 2, 2010
Carolyn Mueller
cmueller at ucar.edu
Wed Dec 1 09:45:40 MST 2010
Just a reminder of tomorrow's seminar.
Carolyn Mueller
NCAR IMAGe
1850 Table Mesa Drive
Boulder, CO 80305
www.image.ucar.edu
Tel: 303 497-2491
Fax: 303-497-2483
Carolyn Mueller wrote:
> Turbulent mixing and beyond: problems, concepts, solutions
>
> Snezhana I. Abarzhi
>
> University of Chicago
>
> Turbulent mixing plays an important role in a broad variety of natural
> and artificial systems, spanning astrophysical to atomistic scales and
> low to high energy densities. Examples include inertial confinement
> fusion, supernovae, atmospheric and oceanic convection, non-canonical
> boundary layers and optical free-space communications. Theoretical
> description of non-equilibrium mixing transports is a challenging
> problem due to singular aspects of the governing (Euler or
> Navier-Stokes) equations. Furthermore these processes are
> statistically unsteady and their fluctuating quantities are
> essentially time-dependent and non-Gaussian. We apply the new
> theoretical concept, the rate of momentum loss, to describe the
> transports of mass, momentum and energy in turbulent mixing flow and
> to capture its anisotropic and inhomogeneous character. It is shown
> that invariant, scaling and spectral properties of unsteady turbulent
> mixing differ substantially from those of isotropic and homogeneous
> turbulence. Time- and scale-invariance of the rate of momentum loss
> leads to non-dissipative momentum transfer, to 1/2 and 3/2 power-law
> scale-dependencies of the velocity and Reynolds number and to
> non-Kolmogorov spectra. Turbulent mixing exhibits more order compared
> to isotropic turbulence, and its viscous and dissipation scales are
> finite and set by flow acceleration. We describe the random character
> of the unsteady turbulent flow and show that the rate of momentum loss
> is the statistical invariant and a robust diagnostic parameter for
> either sustained or time-dependent acceleration. Some criteria are
> discussed for the estimate of the fidelity and information capacity of
> the experimental and numerical data sets.
>
> December 2, 2010
> FL2 main Auditorium
> Room 1022
> Lecture 3:30 pm
>
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