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Magnetically Induced Rotating Rayleigh-Taylor Instability
Published on: March 3, 2017
Viscous Rayleigh-Taylor instability experiments at high pressure and strain rate
Hye-Sook Park1, K T Lorenz, R M Cavallo
1Lawrence Livermore National Laboratory, Livermore, California 94550, USA.
Physical Review Letters
|May 21, 2010
Summary
High pressure in vanadium solids significantly reduces Rayleigh-Taylor instability growth rates. This stabilization is attributed to a phonon drag mechanism, increasing effective lattice viscosity under extreme conditions.
Area of Science:
- Materials Science
- High-Pressure Physics
- Plasma Physics
Background:
- Rayleigh-Taylor instability is a critical phenomenon in various physical systems.
- Understanding instability mitigation is key for inertial confinement fusion and astrophysics.
- Classical models do not fully capture instability behavior under extreme pressures.
Purpose of the Study:
- To experimentally investigate Rayleigh-Taylor instability growth rates in solids.
- To explore the effect of high pressure and strain rates on instability mitigation.
- To identify the underlying physical mechanisms responsible for observed stabilization.
Main Methods:
- Utilized laser-driven ramp compression to quasi-isentropically compress vanadium samples to ~1 Mbar.
- Maintained sample integrity in the solid state during compression.
- Compared experimental results with theoretical models and simulations.
Main Results:
- Observed significant reductions in Rayleigh-Taylor instability growth rates compared to classical predictions.
- Demonstrated high effective lattice viscosity in vanadium under high pressure (~1 Mbar) and high strain rate conditions.
- Identified a phonon drag mechanism as the cause of increased lattice viscosity.
Conclusions:
- High pressure and high strain rate conditions in solids can effectively stabilize Rayleigh-Taylor instabilities.
- Phonon drag is a significant mechanism for increasing effective lattice viscosity at extreme conditions.
- Experimental findings provide crucial data for validating theoretical models of instability dynamics.
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