Numerical study of turbulent transport at high Reynolds number in Richtmyer-Meshkov instability in an ICF like geometry

ORAL

Abstract

We study mixing in high Reynolds (Re) number flows in numerical simulations of a Richtmyer-Meshkov instability in an idealized ICF geometry. We propose that LES simulations of these turbulent flows have an underlying dependence on the numerical algorithm and this possible non-uniqueness emphasizes the need for parameter free models to allow extrapolation from validation of Re in the experimental range. Using the front-tracking code FronTier (validated for Rayleigh-Taylor data at Re=35k) in combination with the dynamic subgrid-scale models proposed by Germano, we achieve a parameter free model to allow for this extrapolation step. Under this simulation framework, we discuss the properties of the mixing and document the sensitivity of the subgrid terms to the numerical algorithm.

Authors

  • Pooja Rao

    Stony Brook University

  • Jeremy Melvin

    State Univ of NY- Stony Brook, Stony Brook University

  • Ryan Kaufman

    Stony Brook University

  • Hyunkyung Lim

    State Univ of NY- Stony Brook, Stony Brook University

  • Yan Yu

    Stony Brook University

  • James Glimm

    Stony Brook University

  • David Sharp

    Los Alamos National Lab