Abstract:A novel gas channel experiment was constructed to study the development of high Atwood number Rayleigh-Taylor mixing. Two gas streams, one containing air and the other containing helium-air mixture, flow parallel to each other separated by a thin splitter plate. The streams meet at the end of a splitter plate leading to the formation of an unstable interface and of buoyancy driven mixing. This buoyancy driven mixing experiment allows for long data collection times, short transients and was statistically steady… Show more
Rayleigh-Taylor mixing is a classical hydrodynamic instability that occurs when a light fluid pushes against a heavy fluid. The two main sources of nonideal behavior in Rayleigh-Taylor (RT) mixing are regularizations (physical and numerical), which produce deviations from a pure Euler equation, scale invariant formulation, and nonideal (i.e., experimental) initial conditions. The Kolmogorov theory of turbulence predicts stirring at all length scales for the Euler fluid equations without regularization. We interpret mathematical theories of existence and nonuniqueness in this context, and we provide numerical evidence for dependence of the RT mixing rate on nonideal regularizations; in other words, indeterminacy when modeled by Euler equations. Operationally, indeterminacy shows up as nonunique solutions for RT mixing, parametrized by Schmidt and Prandtl numbers, in the large Reynolds number (Euler equation) limit. Verification and validation evidence is presented for the large eddy simulation algorithm used here. Mesh convergence depends on breaking the nonuniqueness with explicit use of the laminar Schmidt and Prandtl numbers and their turbulent counterparts, defined in terms of subgrid scale models. The dependence of the mixing rate on the Schmidt and Prandtl numbers and other physical parameters will be illustrated. We demonstrate numerically the influence of initial conditions on the mixing rate. Both the dominant short wavelength initial conditions and long wavelength perturbations are observed to play a role. By examination of two classes of experiments, we observe the absence of a single universal explanation, with long and short wavelength initial conditions, and the various physical and numerical regularizations contributing in different proportions in these two different contexts.large eddy simulations | subgrid scale models | turbulence R ayleigh-Taylor (RT) instability is a classical hydrodynamic instability (1, 2) that occurs when a light fluid pushes against a heavy fluid. The density contrast is measured dimensionlessly by the Atwood number A ¼ ðρ 2 − ρ 1 Þ∕ðρ 2 þ ρ 1 Þ, with ρ i the density of fluid i. The mixing rate can be characterized by the dimensionless parameter α, defined through the equationwhere h is the penetration distance of the light fluid into the heavy and g is the acceleration. The mixing rapidly becomes turbulent, with Reynolds numbers Re ≈ 50;000 observed in typical experiments. For this reason, simulations based on compressible codes, with hyperbolic time step (CFL) restrictions, are unable to resolve the viscous length scales, and such codes are run in an under-resolved manner. Such simulations are called large eddy simulations (LES). LES require subgrid scale (SGS) models to describe the effect of the small (subgrid) scales on the large (grid-resolved) ones. Models for the Reynolds stress based on eddy viscosity are the most familiar of this type.Much of the work on RT mixing has been influenced by ideas of universality and self similarity. If α is to be a universal physical...
Rayleigh-Taylor mixing is a classical hydrodynamic instability that occurs when a light fluid pushes against a heavy fluid. The two main sources of nonideal behavior in Rayleigh-Taylor (RT) mixing are regularizations (physical and numerical), which produce deviations from a pure Euler equation, scale invariant formulation, and nonideal (i.e., experimental) initial conditions. The Kolmogorov theory of turbulence predicts stirring at all length scales for the Euler fluid equations without regularization. We interpret mathematical theories of existence and nonuniqueness in this context, and we provide numerical evidence for dependence of the RT mixing rate on nonideal regularizations; in other words, indeterminacy when modeled by Euler equations. Operationally, indeterminacy shows up as nonunique solutions for RT mixing, parametrized by Schmidt and Prandtl numbers, in the large Reynolds number (Euler equation) limit. Verification and validation evidence is presented for the large eddy simulation algorithm used here. Mesh convergence depends on breaking the nonuniqueness with explicit use of the laminar Schmidt and Prandtl numbers and their turbulent counterparts, defined in terms of subgrid scale models. The dependence of the mixing rate on the Schmidt and Prandtl numbers and other physical parameters will be illustrated. We demonstrate numerically the influence of initial conditions on the mixing rate. Both the dominant short wavelength initial conditions and long wavelength perturbations are observed to play a role. By examination of two classes of experiments, we observe the absence of a single universal explanation, with long and short wavelength initial conditions, and the various physical and numerical regularizations contributing in different proportions in these two different contexts.large eddy simulations | subgrid scale models | turbulence R ayleigh-Taylor (RT) instability is a classical hydrodynamic instability (1, 2) that occurs when a light fluid pushes against a heavy fluid. The density contrast is measured dimensionlessly by the Atwood number A ¼ ðρ 2 − ρ 1 Þ∕ðρ 2 þ ρ 1 Þ, with ρ i the density of fluid i. The mixing rate can be characterized by the dimensionless parameter α, defined through the equationwhere h is the penetration distance of the light fluid into the heavy and g is the acceleration. The mixing rapidly becomes turbulent, with Reynolds numbers Re ≈ 50;000 observed in typical experiments. For this reason, simulations based on compressible codes, with hyperbolic time step (CFL) restrictions, are unable to resolve the viscous length scales, and such codes are run in an under-resolved manner. Such simulations are called large eddy simulations (LES). LES require subgrid scale (SGS) models to describe the effect of the small (subgrid) scales on the large (grid-resolved) ones. Models for the Reynolds stress based on eddy viscosity are the most familiar of this type.Much of the work on RT mixing has been influenced by ideas of universality and self similarity. If α is to be a universal physical...
“…The picture which emerges is that the measurement of ↵ from the fit of h(t) with t 2 is sensitive to the transient behavior which depends on the initial perturbation of the interface. It has been found that, in general, experimental measurements give a value of ↵ in the range 0.05 0.07 (Snider & Andrews 1994;Read 1984;Dimonte & Schneider 1996;Linden et al 1994;Schneider et al 1998;Banerjee & Andrews 2006) while numerical simulations report lower values around 0.03 (Cabot & Cook 2006;Dimonte et al 2004;Young et al 2001;Youngs 1991). One possible origin of this di↵erence is due to the presence of long wavelength perturbations in the experiments, while numerical simulations are usually perturbed at small scales.…”
Section: Rayleigh-taylor Experimentsmentioning
confidence: 87%
“…3 ) while a more recent setup developed by Banerjee & Andrews (2006) is capable to reach A ' 1. Another, and promising technique developed by Huang et al (2007) makes use of a strong magnetic field gradient to stabilize a paramagnetic (heavy) fluid over a diamagnetic (light) one.…”
Basic fluid equations are the main ingredient to develop theories of the Rayleigh-Taylor buoyancy-induced instability. Turbulence arises in the late stage of the instability evolution as a result of the proliferation of active scales of motion. Fluctuations are maintained by the unceasing conversion of potential energy into kinetic energy. Although the dynamics of turbulent fluctuations is ruled by the same equations controlling the Rayleigh-Taylor instability, here only phenomenological theories are currently available. The main purpose of the present review is to provide an overview of the most relevant (and often contrasting) theoretical approaches to Rayleigh-Taylor turbulence together with numerical and experimental evidences for their support. Although the focus will be mainly on the classical Boussinesq Rayleigh-Taylor turbulence of miscible fluids, the review extends to other fluid systems having viscoelastic behavior, being a↵ect by rotation of the reference frame and, finally, in the presence of reactions.
“…Although most earlier high Atwood number R-T experiments were with immiscible fluids, considerable effort now appears to be focused on miscible systems. In addition to the gas tunnel results noted previously (Banerjee & Andrews 2006), preliminary experiments using a variation on the RR (Roberts & Jacobs 2008), and high-pressure gas systems (Kucherenko et al 2003), along with novel approaches such as magnetorheological fluids (White et al 2004), are showing considerable promise, although further progress on the associated diagnostics is necessary to provide the much-needed measurements in this miscible regime.…”
Section: Discussionmentioning
confidence: 99%
“…brine/water with Sc approximately 700, and hot/cold water with Pr approximately 7. Furthermore, a new gas tunnel experiment at Texas A&M University has been developed for high Atwood number R-T studies (Banerjee & Andrews 2006). …”
Section: (D) the Water Tunnel Rayleigh-taylor Experimentsmentioning
Consideration is given to small Atwood number (non-dimensional density difference) experiments to investigate mixing driven by Rayleigh-Taylor (R-T) instability. The past 20 years have seen the development of novel experiments to investigate R-T mixing and, simultaneously, the advent of high-fidelity diagnostics. Indeed, the developments of experiments and diagnostics have gone hand in hand, and as a result modern R-T experiments rival the capabilities and research scope of shear-driven mixing experiments. Thus, research into the small Atwood number limit has made significant progress over the past 20 years, and has offered important insights into natural mixing processes as well as the general R-T problem. This review of small Atwood number experiments serves as an opportunity to discuss progress, and also to provoke thoughts about future high Atwood number designs and difficulties.
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