Rethinking missing mass theory

ORAL

Abstract

We perform a series of investigations, both theoretical and numerical, intended to establish a foundational, quantitative understanding of the material outflows generated when a strong shock is driven through an imperfect ("defected") metal surface. Our investigation is limited to tin surfaces with symmetric defects subject to sufficiently strong shock pressures (∼28 GPa) such that the tin completely changes to fluid phase and Richtmyer-Meshkov instability produces outflows of mass from surface defects. Outflow masses are non-dimensionalized by dividing by the "missing mass," which is the product of the pre-shock solid metal density and the pre-shock defect volume. We examine the effects of defect shape, defect aspect ratio, distance between defects, and bump-type defects on outflow mass variability with 2D simulations. Rectangular, triangular, elliptical, and sinusoidal defect shapes are investigated. Bump-type defects are normalized by added mass. Our results suggest that, while missing and added masses are useful quantities for non-dimensionalizing outflow mass, new theories of outflow mass variability should attempt to assimilate patterns of baroclinic variability (the degree of misalignment of density and pressure gradients during shock transit).

*Thanks to the U.S. Department of Energy's Advanced Simulation and Computing program for sponsoring this research. Los Alamos National Laboratory, an affirmative action/equal opportunity employer, is managed by Triad National Security, LLC, for the National Nuclear Security Administration of the U.S. Department of Energy under contract 89233218CNA000001.

Publication: Planned paper with a similar title to be submitted in September

Presenters

  • Bryan E Kaiser

    • Los Alamos National Laboratory

Authors

  • Bryan E Kaiser

    • Los Alamos National Laboratory
  • Jordan Hoffart

    • Texas A&M University
  • Julia Marshall

    • University of Michigan
  • Jesse M Canfield

    • Los Alamos National Laboratory
  • Jim Ferguson

    • Los Alamos National Laboratory
  • Aaron Koskelo

    • Los Alamos National Laboratory
  • Ian L Tregillis

    • Los Alamos Natl Lab