Exploring the late time asymptotic evolution of Rayleigh-Taylor instability via NIF discovery science experiments

ORAL

Abstract

The late time asymptotic evolution of Rayleigh-Taylor instability (RTI) is self-similar and the amplitudes of the spikes and bubbles are described by the equation hS/B = αS/B gt2, which is commonly used in various physical and engineering systems. There are significant discrepancies between theoretical, computational, and experimental calculations of αB. Experiments of uncontrolled broadband initial conditions and theoretical models of immiscible fluids yield αB~0.05, while simulations of narrowband initial conditions and miscible fluids yield αB~0.025. We present recent experiments at the National Ignition Facility, which measured the late time growth of RTI for miscible fluids (plasma state) from a well-characterized short wavelength initial perturbation. The fronts of the bubbles, the spikes and the blast wave, which initiated the instability, were each extracted from the experimental data at different times. The values of αB and αs where calculated using simulation of the 1D dynamics of the system and a Buoyancy-Drag (BD) model for the instability.

*This work was partially conducted under the NIF Discovery Science Program

Presenters

  • Assaf Shimony

    • NRCN
    • Nuclear Research Center Negev, Israel

Authors

  • Assaf Shimony

    • NRCN
    • Nuclear Research Center Negev, Israel
  • Dov Shvarts

    • Nuclear Research Center Negev, Israel, Ben Gurion University of the Negev, Israel
    • Nuclear Research Center NEGEV, Israel, Ben-Gurion University, Israel
    • NRCN
    • Ben-Gurion University of the Negev
    • Ben Gurion Univ of the Negev
  • Guy Malamud

    • Univ of Michigan - Ann Arbor
    • Nuclear Research Center Negev, Israel, Univ of Michigan - Ann Arbor
    • Univ of Michigan - Ann Arbor, NRCN
  • Yonatan Elbaz

    • Nuclear Research Center Negev, Israel
  • Channing M Huntington

    • Lawrence Livermore National Lab
    • Lawrence Livermore Natl Lab
    • LLNL
  • Stephan A MacLaren

    • Lawrence Livermore Natl Lab