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Spherical Richtmyer-Meshkov instability for axisymmetric flow

  • Srabasti Dutta
  • , James Glimm
  • , John W. Grove
  • , David H. Sharp
  • , Yongmin Zhang
  • Stony Brook University
  • Los Alamos National Laboratory
  • Los Alamos National Laboratory Theoretical Division

Research output: Contribution to journalConference articlepeer-review

17 Scopus citations

Abstract

Front tracking has proved to be an accurate and efficient algorithm in the sense that tracking the interface can reduce the error significantly [9,10]. By applying this algorithm, we conduct numerical simulations of Richtmyer-Meshkov (RM) instabilities in spherical geometry for axisymmetric flow. We demonstrate scaling invariance with respect to shock Mach number for fluid mixing statistics, such as growth rate and volume fraction. Here the mixing is related to bulk transport rather than molecular mixing. Our results are validated by convergence under both mesh refinement and statistical ensemble averaging. We also show that the spherical geometry will converge to planar geometry when the number of modes of interface perturbation goes to infinity.

Original languageEnglish
Pages (from-to)417-430
Number of pages14
JournalMathematics and Computers in Simulation
Volume65
Issue number4-5
DOIs
StatePublished - May 11 2004
EventWave Phenomena in Physisc and Engineering: New Models - Montreal, Canada
Duration: May 1 2003May 1 2003

Keywords

  • Front tracking
  • Richtmyer-Meshkov instability
  • Spherical geometry

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