Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session G28: Flow Instability: Rayleigh-Taylor/Richtmyer-Meshkov II
10:35 AM–12:45 PM,
Monday, November 19, 2018
Georgia World Congress Center
Room: B316
Chair: Praveen Ramaprabhu, University of North Carolina, Charlotte
Abstract ID: BAPS.2018.DFD.G28.1
Abstract: G28.00001 : Self-Similar Solutions to Three- and Four-Equation Reynolds-Averaged Models for Rayleigh−Taylor Mixing and Comparisons to Numerical Simulation and Experimental Data*
10:35 AM–10:48 AM
Presenter:
Oleg Schilling
(Lawrence Livermore National Laboratory)
Author:
Oleg Schilling
(Lawrence Livermore National Laboratory)
Analytical self-similar solutions to three- and four-equation mechanical/scalar turbulence models [Schilling and Mueschke, Physical Review E 96, 063111 (2017)], similar to those used in turbulent combustion, are presented for Rayleigh-Taylor mixing. The mechanical turbulence is described by the turbulent kinetic energy, K, and its dissipation rate, ε, and the scalar turbulence is described by a scalar variance, S, and its dissipation rate, χ. The addition of the scalar variables gives a prediction for the molecular mixing parameter, θ, as a function of the model coefficients. The spatiotemporal evolution of the mean and turbulent fields is illustrated. The growth and mixing parameters, ratio of turbulent kinetic energy to released potential energy, and production-to-dissipation ratios are obtained as a function of the model coefficients and are compared to their values from direct numerical simulation of a small Atwood number Rayleigh−Taylor mixing experiment. The agreement between the model and data are quite good, with the four-equation model predictions in better agreement with data than the three-equation model predictions.
*This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.G28.1
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