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 Q02: Turbulent Combustion IV
12:50 PM–3:26 PM,
Tuesday, November 20, 2018
Georgia World Congress Center
Room: B203
Chair: Adam Steinberg, Georgia Institute of Technology
Abstract ID: BAPS.2018.DFD.Q02.2
Abstract: Q02.00002 : Large-eddy simulation and Reynolds-averaged Navier-Stokes modeling of a reacting Rayleigh-Taylor mixing layer in a convergent geometry*
1:03 PM–1:16 PM
Presenter:
Brandon E Morgan
(Lawrence Livermore Natl Lab)
Authors:
Brandon E Morgan
(Lawrence Livermore Natl Lab)
Britton J Olson
(Lawrence Livermore Natl Lab)
Wolfgang J Black
(Univ of Missouri - Columbia)
Jacob A McFarland
(Univ of Missouri - Columbia)
Tenth-order compact difference code Miranda is used to perform large-eddy simulation (LES) of a hydrogen gas/plastic ablator mixing layer in a convergent geometry. Once the mixing layer has achieved self-similar growth, it is heated to 1 keV, and the second-order arbitrary Lagrangian/Eulerian (ALE) code Ares is used to simulate mixing layer evolution as it undergoes thermonuclear (TN) burn. Both premixed and non-premixed variants are considered at Atwood numbers 0.05 and 0.50. The impact of turbulent mixing on mean TN reaction rate is examined, and a four-equation k-L-a-V Reynolds-averaged Navier Stokes (RANS) model is presented. The k-L-a-V model, which represents an extension of the k-L-a model [Morgan and Wickett, Phys. Rev. E 91, 043002 (2015)] by the addition of a transport equation for the scalar mass fraction variance, is then applied in one-dimensional simulations of the reacting mixing layer under consideration. Excellent agreement is obtained between LES and RANS in total TN neutron production when fluctuations in reaction cross-section can be neglected.
*This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.Q02.2
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