Malcolm J. Andrews
Los Alamos National Laboratory
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Featured researches published by Malcolm J. Andrews.
Physics of Fluids | 2004
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
Praveen Ramaprabhu; Malcolm J. Andrews
The self-similar evolution to turbulence of a multi-mode Rayleigh–Taylor mix at small density differences (
Physics of Fluids | 1994
Dale Snider; Malcolm J. Andrews
A_{t} \sim 7.5 \times 10^{ - 4}
Journal of Fluid Mechanics | 2005
Praveen Ramaprabhu; Guy Dimonte; Malcolm J. Andrews
), 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
International Journal of Heat and Mass Transfer | 1996
Sandip Dutta; Malcolm J. Andrews; Je-Chin Han
-5/3
Heat Transfer Engineering | 2005
Malcolm J. Andrews; Bashir I. Master
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 | 2002
Peter N. Wilson; Malcolm J. Andrews
A new water channel experiment has been used to study turbulent mixing driven by buoyancy, and by combined buoyancy and shear. Density differences were produced by thermal stratification. The experiment was statistically steady, and a space–time transformation in the streamwise direction permitted a continuous study of the mixing evolution. Dye and digitized photographs were used to study the mixing process. An ensemble average of images gave the average mixing layer growth rate and the distribution of light and heavy fluid in the mixing layer. The structure of the early growth of buoyancy dominated mixing and of combined shear and buoyancy mixing is presented. The mixing transition from combined shear and buoyancy mixing to buoyancy dominated mixing occurred at Richardson numbers from −5 to −11. It was found that buoyancy dominated a self‐similar mixing stage for the range of flows (ΔU=0 to 2 cm/s) and density differences (Δρ=0.38 to 2.4 kg/m3). Transition to self‐similar mixing occurred at a Reynolds nu...
Journal of Fluid Mechanics | 2010
Arindam Banerjee; Wayne N. Kraft; Malcolm J. Andrews
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 Fluids | 2006
Arindam Banerjee; Malcolm J. Andrews
\alpha_{b})
Journal of Applied Physics | 2015
F. J. Cherne; J. E. Hammerberg; Malcolm J. Andrews; V. Karkhanis; Praveen Ramaprabhu
and the self-similar parameter (