Literature DB >> 20615983

Nonideal Rayleigh-Taylor mixing.

Hyunkyung Lim1, Justin Iwerks, James Glimm, David H Sharp.   

Abstract

Rayleigh-Taylor mixing is a classical hydrodynamic instability that occurs when a light fluid pushes against a heavy fluid. The two main sources of nonideal behavior in Rayleigh-Taylor (RT) mixing are regularizations (physical and numerical), which produce deviations from a pure Euler equation, scale invariant formulation, and nonideal (i.e., experimental) initial conditions. The Kolmogorov theory of turbulence predicts stirring at all length scales for the Euler fluid equations without regularization. We interpret mathematical theories of existence and nonuniqueness in this context, and we provide numerical evidence for dependence of the RT mixing rate on nonideal regularizations; in other words, indeterminacy when modeled by Euler equations. Operationally, indeterminacy shows up as nonunique solutions for RT mixing, parametrized by Schmidt and Prandtl numbers, in the large Reynolds number (Euler equation) limit. Verification and validation evidence is presented for the large eddy simulation algorithm used here. Mesh convergence depends on breaking the nonuniqueness with explicit use of the laminar Schmidt and Prandtl numbers and their turbulent counterparts, defined in terms of subgrid scale models. The dependence of the mixing rate on the Schmidt and Prandtl numbers and other physical parameters will be illustrated. We demonstrate numerically the influence of initial conditions on the mixing rate. Both the dominant short wavelength initial conditions and long wavelength perturbations are observed to play a role. By examination of two classes of experiments, we observe the absence of a single universal explanation, with long and short wavelength initial conditions, and the various physical and numerical regularizations contributing in different proportions in these two different contexts.

Year:  2010        PMID: 20615983      PMCID: PMC2919961          DOI: 10.1073/pnas.1002410107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  6 in total

1.  A comparison of experimental, theoretical, and numerical simulation Rayleigh-Taylor mixing rates.

Authors:  E George; J Glimm; X-L Li; A Marchese; Z-L Xu
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

2.  A three-dimensional renormalization group bubble merger model for Rayleigh-Taylor mixing.

Authors:  Baolian Cheng; J. Glimm; D. H. Sharp
Journal:  Chaos       Date:  2002-06       Impact factor: 3.642

3.  Chaotic mixing as a renormalization-group fixed point.

Authors: 
Journal:  Phys Rev Lett       Date:  1990-04-30       Impact factor: 9.161

4.  Turbulent mixing with physical mass diffusion.

Authors:  Xinfeng Liu; Erwin George; Wurigen Bo; J Glimm
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-05-01

5.  Influence of scale-breaking phenomena on turbulent mixing rates.

Authors:  Erwin George; James Glimm; Xiaolin Li; Yuanhua Li; Xinfeng Liu
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-01-19

6.  The importance of fluctuations in fluid mixing.

Authors:  Kai Kadau; Charles Rosenblatt; John L Barber; Timothy C Germann; Zhibin Huang; Pierre Carlès; Berni J Alder
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-30       Impact factor: 11.205

  6 in total
  1 in total

1.  Euler equation existence, non-uniqueness and mesh converged statistics.

Authors:  James Glimm; David H Sharp; Hyunkyung Lim; Ryan Kaufman; Wenlin Hu
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2015-09-13       Impact factor: 4.226

  1 in total

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