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Related Experiment Video

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Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids

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Rayleigh-Taylor instability with complex acceleration history.

Guy Dimonte¹, Praveen Ramaprabhu, Malcolm Andrews

¹Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|November 13, 2007

Summary

Complex acceleration histories in Rayleigh-Taylor instability experiments shred bubbles and spikes, reducing growth. Broadband initial perturbations are crucial for accurate simulation of bubble evolution and validating mix models.

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Area of Science:

Fluid dynamics
Plasma physics
Astrophysical phenomena

Background:

Rayleigh-Taylor instability is fundamental to many physical processes.
Understanding instability evolution under complex acceleration is critical for accurate modeling.
Previous studies often simplified acceleration histories.

Purpose of the Study:

Investigate Rayleigh-Taylor instability with a complex, multi-phase acceleration history.
Analyze the impact of deceleration phases on bubble and spike dynamics.
Validate numerical simulation capabilities for complex scenarios.

Main Methods:

Experimental studies combined with numerical simulations.
Implementation of a complex acceleration profile g(t) with acceleration-deceleration-acceleration phases.
Analysis of bubble and spike morphology and atomic mixing.

Main Results:

Dominant bubbles and spikes are shredded by trailing structures during deceleration.
Reduced bubble diameter and increased atomic mixing observed.
Growth of instability is retarded during the final acceleration phase.
Broadband initial perturbations are necessary for accurate bubble evolution simulation.

Conclusions:

Complex acceleration histories significantly alter Rayleigh-Taylor instability dynamics.
Deceleration phases play a crucial role in mitigating instability growth.
Numerical models require broadband initial perturbations to capture bubble evolution accurately.
This study provides a valuable benchmark for validating mix models in complex scenarios.