Abstract

Abstract

Highlights

  • The Richtmyer–Meshkov (RM) instability (Richtmyer 1960; Meshkov 1969) is driven by the baroclinic generation of vorticity resulting from the misalignment of density and pressure gradients when a density-stratified interface is impulsively accelerated by a 904 A3-2M

  • We investigate the late-time Richtmyer–Meshkov instability (RMI) growth of sinuous perturbations on an air/sulphur hexafluoride interface (Atwood number, A ∼ 0.67) subjected to a Mach 1.2 planar shock wave at Los Alamos National Laboratory’s vertical shock tube facility

  • All experiments are conducted at the Los Alamos National Laboratory (LANL) Vertical Shock Tube (VST) facility

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Summary

Introduction

The Richtmyer–Meshkov (RM) instability (Richtmyer 1960; Meshkov 1969) is driven by the baroclinic generation of vorticity resulting from the misalignment of density and pressure gradients when a density-stratified interface is impulsively accelerated by a. The main hurdle occurs in forming a well-defined interface between the two gases (Jones & Jacobs 1997) by methods that do not affect the post-shock flow Such an issue does not occur in liquid systems, the scale of forces associated with these explosively driven experiments (Benjamin 1988) poses a much larger safety concern with high operation costs and large preparation times. The technique, shows good promise but extreme oscillatory measures to achieve large ka0 initial conditions (>0.5) may add complications with the use of fixed optical diagnostic systems and heavy/large shock tubes This issue is being addressed by localizing the oscillatory motion using pistons movements at the interface (Motl et al 2007) where a stepper motor oscillates the pistons laterally at a given frequency to develop a standing wave. The separation of energy containing and dissipative scales along with the local and global flow characteristics are used to determine the effect of initial conditions on mixing transition with particular emphasis on the transition criterion used

Experimental facility
Interface characterization
Mixing widths and scaling
Evaluation of single-scale nonlinear models
11 Present experiments
Vortex identification and invariants of the reduced velocity gradient tensor
Turbulent statistics: velocity fluctuations and turbulent kinetic energy
Minimum state analysis and turbulent length scales
Energy spectrum analysis
Summary and conclusions
Full Text
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