JOURNAL ARTICLE

Application of monotone integrated large eddy simulation to Rayleigh–Taylor mixing

D. L. Youngs

Year: 2009 Journal:   Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences Vol: 367 (1899)Pages: 2971-2983   Publisher: Royal Society

Abstract

Rayleigh–Taylor (RT) instability occurs when a dense fluid rests on top of a light fluid in a gravitational field. It also occurs in an equivalent situation (in the absence of gravity) when an interface between fluids of different density is accelerated by a pressure gradient, e.g. in inertial confinement fusion implosions. Engineering models (Reynolds-averaged Navier–Stokes models) are needed to represent the effect of mixing in complex applications. However, large eddy simulation (LES) currently makes an essential contribution to understanding the mixing process and calibration or validation of the engineering models. In this paper, three cases are used to illustrate the current role of LES: (i) mixing at a plane boundary, (ii) break-up of a layer of dense fluid due to RT instability, and (iii) mixing in a simple spherical implosion. A monotone integrated LES approach is preferred because of the need to treat discontinuities in the flow, i.e. the initial density discontinuities or shock waves. Of particular interest is the influence of initial conditions and how this needs to be allowed for in engineering modelling. It is argued that loss of memory of the initial conditions is unlikely to occur in practical applications.

Keywords:
Rayleigh–Taylor instability Mechanics Instability Physics Mixing (physics) Implosion Classification of discontinuities Classical mechanics Inertial confinement fusion Statistical physics Mathematical analysis Mathematics Optics

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Citation History

Topics

Laser-Plasma Interactions and Diagnostics
Physical Sciences →  Physics and Astronomy →  Nuclear and High Energy Physics
Particle Dynamics in Fluid Flows
Physical Sciences →  Engineering →  Ocean Engineering
Fluid Dynamics and Turbulent Flows
Physical Sciences →  Engineering →  Computational Mechanics

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