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Dive into the research topics where Praveen Ramaprabhu is active.

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Featured researches published by Praveen Ramaprabhu.


Physics of Fluids | 2004

A comparative study of the turbulent Rayleigh–Taylor instability using high-resolution three-dimensional numerical simulations: The Alpha-Group collaboration

Guy Dimonte; David L. Youngs; Andris M. Dimits; S. Weber; M. Marinak; Scott Wunsch; C. Garasi; A. Robinson; Malcolm J. Andrews; Praveen Ramaprabhu; Alan Clark Calder; Bruce Fryxell; J. Biello; L. J. Dursi; P. J. MacNeice; K. Olson; Paul M. Ricker; R. Rosner; F. X. Timmes; Henry M. Tufo; Yuan-Nan Young; Michael Zingale

The turbulent Rayleigh–Taylor instability is investigated in the limit of strong mode-coupling using a variety of high-resolution, multimode, three dimensional numerical simulations (NS). The perturbations are initialized with only short wavelength modes so that the self-similar evolution (i.e., bubble diameter Db∝amplitude hb) occurs solely by the nonlinear coupling (merger) of saturated modes. After an initial transient, it is found that hb∼αbAgt2, where A=Atwood number, g=acceleration, and t=time. The NS yield Db∼hb/3 in agreement with experiment but the simulation value αb∼0.025±0.003 is smaller than the experimental value αb∼0.057±0.008. By analyzing the dominant bubbles, it is found that the small value of αb can be attributed to a density dilution due to fine-scale mixing in our NS without interface reconstruction (IR) or an equivalent entrainment in our NS with IR. This may be characteristic of the mode coupling limit studied here and the associated αb may represent a lower bound that is insensiti...


Journal of Fluid Mechanics | 2004

Experimental investigation of Rayleigh-Taylor mixing at small Atwood numbers

Praveen Ramaprabhu; Malcolm J. Andrews

The self-similar evolution to turbulence of a multi-mode Rayleigh–Taylor mix at small density differences (


Journal of Fluid Mechanics | 2005

A numerical study of the influence of initial perturbations on the turbulent Rayleigh-Taylor instability

Praveen Ramaprabhu; Guy Dimonte; Malcolm J. Andrews

A_{t} \sim 7.5 \times 10^{ - 4}


Journal of Applied Physics | 2013

Ejecta source model based on the nonlinear Richtmyer-Meshkov instability

Guy Dimonte; Guillermo Terrones; F. J. Cherne; Praveen Ramaprabhu

), is investigated through particle image velocimetry (PIV), and high-resolution thermocouple measurements. The density difference has been achieved through a temperature difference in the fluid. Cold fluid enters above the hot in a closed channel to form an unstable interface. This buoyancy-driven mixing experiment allows for long data collection times, short transients, and is statistically steady. First-, second-, and third-order statistics with spectra of velocity and temperature fields are presented. Analysis of the measurements has shed light on the structure of mixing as it develops to a self-similar regime in this flow. The onset of self-similarity is marked by the development of a self-preserving form of the temperature spectra, and the collapse of velocity profiles expressed in self-similar units. Vertical velocity fluctuations dominate horizontal velocity fluctuations in this experiment, with a ratio approaching 2:1 in the self-similar regime. This anisotropy extends to the Taylor microscales that undergo differential straining in the direction of gravity. Up to two decades of velocity spectra development, and four decades of temperature spectra, have been captured from the experiment. The velocity spectra consist of an inertial range comprised of anisotropic vertical and horizontal velocity fluctuations, and a more isotropic dissipative range. Buoyancy forcing occurs across the spectrum of velocity and temperature scales, but was not found to affect the structure of the spectra, resulting in a


Physics of Fluids | 2010

Simulations and model of the nonlinear Richtmyer-Meshkov instability

Guy Dimonte; Praveen Ramaprabhu

-5/3


Journal of Applied Physics | 2015

On shock driven jetting of liquid from non-sinusoidal surfaces into a vacuum

F. J. Cherne; J. E. Hammerberg; Malcolm J. Andrews; V. Karkhanis; Praveen Ramaprabhu

slope, similar to other canonical turbulent flows. A scaling argument is presented to explain this observation. The net kinetic energy dissipation, as the flow evolves from an initial state to a final self-similar state was measured to be 49% of the accompanying loss in potential energy, and is in close agreement with values obtained from three-dimensional numerical simulations.


Physics of Fluids | 2012

The late-time dynamics of the single-mode Rayleigh-Taylor instability

Praveen Ramaprabhu; Guy Dimonte; Paul R. Woodward; Christopher L. Fryer; Gabriel Rockefeller; K. Muthuraman; Pei-Hung Lin; Jagan Jayaraj

The effect of initial conditions on the growth rate of turbulent Rayleigh–Taylor (RT) mixing has been studied using carefully formulated numerical simulations. A monotone integrated large-eddy simulation (MILES) using a finite-volume technique was employed to solve the three-dimensional incompressible Euler equations with numerical dissipation. The initial conditions were chosen to test the dependence of the RT growth coefficient (


Physics of Plasmas | 2005

Recent advances in the turbulent Rayleigh-Taylor instability

Guy Dimonte; Praveen Ramaprabhu; David L. Youngs; Malcolm J. Andrews; R. Rosner

\alpha_{b})


Physics of Fluids | 2004

On the initialization of Rayleigh–Taylor simulations

Praveen Ramaprabhu; Malcolm J. Andrews

and the self-similar parameter (


Journal of Computational Physics | 2014

Cross-code comparisons of mixing during the implosion of dense cylindrical and spherical shells

C. C. Joggerst; Anthony Nelson; Paul R. Woodward; C. C. Lovekin; Thomas Masser; Chris L. Fryer; Praveen Ramaprabhu; Marianne M. Francois; Gabriel Rockefeller

\beta_{b}\,{=}\,\lambda_{b}/h_{b})

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Malcolm J. Andrews

Los Alamos National Laboratory

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Guy Dimonte

Los Alamos National Laboratory

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Varad Karkhanis

University of North Carolina at Chapel Hill

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F. J. Cherne

Los Alamos National Laboratory

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J. E. Hammerberg

Los Alamos National Laboratory

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William T. Buttler

Los Alamos National Laboratory

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Yuan-Nan Young

New Jersey Institute of Technology

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