Skip to main content
Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2022 Nov 14;119(47):e2118589119. doi: 10.1073/pnas.2118589119

Self-similar Rayleigh–Taylor mixing with accelerations varying in time and space

Snezhana I Abarzhi a, Katepalli R Sreenivasan b,c,d,1
PMCID: PMC9704740  PMID: 36375067

Significance

The violent instability that results when a lighter fluid accelerates against a heavier fluid is known as Rayleigh–Taylor (RT) instability. Its subsequent evolution to interfacial turbulent mixing underlies many processes in fluids, plasmas, and materials and encompasses phenomena from celestial scales to nanoscales. Thus, fundamental advances in RT mixing will improve the understanding of a broad range of natural phenomena and technological applications. Much of the past study of RT mixing has concerned constant or impulsive acceleration. Here, using group-theory approach, we advance the science of self-similar RT mixing for the practically important cases of variable acceleration in both time and space.

Keywords: Rayleigh–Taylor and Richtmyer–Meshkov instabilities, variable acceleration, interfacial mixing, self-similar solutions, group theory

Abstract

As a ubiquitous paradigm of instabilities and mixing that occur in instances as diverse as supernovae, plasma fusion, oil recovery, and nanofabrication, the Rayleigh–Taylor (RT) problem is rightly regarded as important. The acceleration of the fluid medium in these instances often depends on time and space, whereas most past studies assume it to be constant or impulsive. Here, we analyze the symmetries of RT mixing for variable accelerations and obtain the scaling of correlations and spectra for classes of self-similar dynamics. RT mixing is shown to retain the memory of deterministic conditions for all accelerations, with the dynamics ranging from superballistic to subdiffusive. These results contribute to our understanding and control of the RT phenomena and reveal specific conditions under which Kolmogorov turbulence might be realized in RT mixing.


Turbulence is an unfinished problem of classical physics. Its theoretical richness attracts physicists and mathematicians alike, while its practical importance demands the attention of engineers and practitioners. Isotropy, homogeneity, and localness of scale-to-scale interactions are some of the fundamental paradigms that have advanced our understanding of turbulent dynamics. However, realistic processes often depart from these ideal paradigms. An important class of such processes is linked to the Rayleigh–Taylor (RT) mixing encountered in a large variety of configurations (1, 2).

RT instability occurs when the fluid interface is perturbed near the equilibrium state and develops under an accelerating velocity field. When the acceleration is constant, the instability is referred to as the classical RT instability, and the impulsive (e.g., shock-driven) case is known as the Richtmyer–Meshkov (RM) instability (3, 4). In general, the flow transitions from an initial stage of quick perturbation growth to a nonlinear stage, in which the growth rate slows and the interface is transformed to a combination of the large-scale coherent structure and shear-driven small scales. The final stage of this instability is an intense interfacial mixing, whose dynamics is believed to be self-similar. For an appreciation of the problem in a rich variety of contexts, see refs. 522.

This work adopts continuum fluid equations and advances the significant success achieved via the group-theory approach analyzing symmetries and invariant properties of RT dynamics (19, 22, 23). We explore the special classes of self-similar dynamics of RT mixing driven by accelerations that obey power laws in time and in space, which have not been discussed in earlier work (2225). Our results explain existing experiments, broaden the horizons of studies of RT-relevant processes, and outline conditions under which Kolmogorov turbulence may manifest in RT/RM mixing.

Theoretical Approach

Governing Equations.

Each fluid obeys the conservation laws for mass, momentum, and energy (3, 68) as:

ρ/t+ρvi/xi=0,ρvi/t+ρvivj/xj+P/xi=0,E/t+(E+P)vi/xi=0,

where (xi,t)=(x,y,z,t) are spatial coordinates and time, ρ,vi,P and E=ρ(v2/2+e) are the density, velocity, pressure, and energy density, e and W=e+p/ρ being specific internal energy and enthalpy. These nonlinear partial differential equations are augmented with boundary conditions at the unstable and freely evolving interface and by those at the outer boundaries of the domain: [v·n]=0,[P]=0,v|z±=0, and [v·τ] and [W] assume arbitrary values; here, [·] marks the function jump at the interface, and n and τ are the normal and tangential unit vectors of the interface. These boundary conditions are augmented by initial conditions on flow perturbations at the interface and in the bulk. The boundary-value problem is influenced by possible singularities and secondary instabilities, and the initial value problem is ill-posed. The gravity g=(0,0,g),g=|g|, is directed from the heavy to the light fluid. In spatially extended systems, the flow can be periodic in the (x, y) plane normal to gravity. The governing equations for nonideal fluids can be modified as necessary; for example, with the inclusion of the kinematic viscosity ν, the momentum equation acquires the term (ρν2vi/xjxj); for constant acceleration, this yields a viscous scale lν~(ν2/g)1/3.

While RT dynamics is complex because of many coupled scales, it has some features of universality and order in the early, as well as late, stages of development. They enable us to study from principles based on the group-theory approach. The approach reveals that the scale-dependent RT dynamics has the multiscale and interfacial character and that, for constant acceleration, the self-similar RT mixing exhibits a certain degree of order. As already stated, RT dynamics is often driven by accelerations that vary in time and space, which we take to be in the form of power laws. In applications, the power laws can be obtained from fits to the time- and space-dependence of observed accelerations. We focus on the analysis of invariants, scaling laws, correlations, and fluctuations of RT mixing by employing the momentum model described immediately below.

The Momentum Model.

The model (24, 26) stipulates that the dynamics of a parcel of fluid undergoing RT mixing is governed by the specific (per unit mass) balance of the rate of momentum gain, μ, and the rate of momentum loss, μ˜, as

h˙=v,   v˙=μ˜μ. [1]

Here, h is the length scale along g and v the corresponding velocity. The rate of gain (loss) of specific momentum is μ˜=ε˜/v (μ=ε/v), with ε˜(ε) as the rate of gain (loss) of specific energy. Relations ε˜=vμ˜ and ε=vμ between the rates of change of specific momentum and energy are the standard relations between power and force (per unit mass) (5). The rate of energy gain is ε˜=gBv, where B>0 is the buoyancy; we rescale gBg with no loss of generality. The rate of energy loss is ε=Cv3/L, where L is the length scale of the energy dissipation, and the constant C > 0 is related to the drag on the flow.* The linear, nonlinear, and mixing dynamics have (for any g) their own values of B and C due to their distinct characteristics. These considerations lead to μ˜=g and μ=Cv2/L. In RT mixing, the boundary condition [v·n]=0 does not depend on ρ.

The power-law accelerations that we consider vary in time as g=Gtα,t>t0>0, with the exponent α(,) and the prefactor G > 0 with dimension m/s(2+α). They also vary in space, g=G¯hβ,h>h0>0, where the exponent β(,1) and the prefactor G¯>0 has the dimension m(1β)/s2. We seek asymptotic solutions for (t/t0,h/h0)1, given some initial values at (t0,h0). The acceleration effects are important for all times in RT dynamics, but asymptotically negligible in RM.

In RT flows, two independent macroscopic length scales are dynamically relevant: the perturbation amplitude h in the direction of acceleration and the wavelength λ in the normal plane—the vertical and the horizontal scales, respectively. The former is regarded as an integral scale, believed to grow self-similarly in the mixing regime. The latter is set by some deterministic conditions—e.g., by the wavelength of the initial perturbation. Both are the characteristic energy-containing macroscales. The case L~λ corresponds to the scale-dependent linear and nonlinear RT/RM dynamics. The case L~h for energy dissipation ε=Cv3/L resembles the self-similar RT and RM mixing and is the focus of our work.

Asymptotic Dynamics.

The momentum model has the same symmetries and scaling transformations as the governing equations and can thus capture the invariance and scaling properties of the asymptotic solutions (to within prefactors). For time-varying acceleration g=Gtα, in the mixing regime with L = h, the dynamics is of the RT type for α>αcr with the asymptotic solution given by hRT=BRTt2+α, where the exponent is set by α, and the prefactor BRT is set by the acceleration parameters and the drag (2224). For α<αcr, the dynamics is of the RM type and the asymptotic solution is hRM=BRMt2+αcr, where the critical exponent is set by the drag, αcr=2+(1+C)1, and the prefactor BRM by the drag and deterministic conditions.

For space-varying acceleration g=G¯hβ, in the mixing regime with L = h, the momentum model has the exact solution v2=2G¯h(1+β)/(1+β+2C)+V02(h/H0)2C, where the constant values V0 and H0 (with dimensions m/s and m, respectively) are set by deterministic conditions. The dynamics is of the RT type for β>βcr with the asymptotic solution given by vRT2=2G¯h(1+β)/(1+β+2C). The dynamics is of the RM type for β<βcr with vRM2=V02(h/H0)2C, where the critical exponent βcr=(1+2C) is set by the drag.

For variable accelerations g=Gtα and g=G¯hβ, in RT-type mixing, the rate of momentum loss is |μ|~|μ˜| with small |v˙/μ˜|1, whereas, in RM-type mixing, the rate of momentum loss is |μ|~|v˙| with asymptotically vanishing |μ˜/μ|0. Self-similar mixing transitions occur from the RT to the RM type for α~αcr and for β~βcr. The critical exponents behave as αcr1 and βcr1 for C0 and as αcr2 and βcr for C. While the RT and RM solutions are coupled as particular and homogeneous solutions, they are effectively decoupled because of their distinct symmetries.

For both time- and space-varying accelerations, g=Gtα and g=G¯hβ, the asymptotic solutions for self-similar mixing are the same, when the exponents and prefactors relate as β=α/(2+α) and G¯=(G2((ααcr)(2+α)/(2+αcr))α)1/(2+α).

Scaling Laws and Fluctuations with Variable Acceleration

In this section, we analyze the scaling laws, correlations, fluctuations, and spectra of self-similar mixing.

Dynamical Properties.

In RT mixing with g=Gtα and α>αcr, the length scale varies with time as L~t2+α and the velocity scale as v~tα+1. The length scale increases with time for all α>αcr, whereas the velocity scale increases with time for α>1, remains constant for α=1, and decreases for α<1. For the case with g=G¯hβ and β>βcr, the velocity scale increases with the length scale for β>1, decreases for β<1, and is scale-independent for β=1.

We compare these relations with scaling laws for diffusion L~t1/2, v~L1, and ballistics L~t2,v~L1/2, and denote similar/quicker/slower processes by the prefixes quasi/super/sub. We find (for α>αcr,β>βcr) that RT mixing is superballistic for α>0,β>0; ballistic for α=0,β=0; superdiffusive for α>3/2,β>3; quasidiffusive for α=3/2,β=3; and subdiffusive for α<3/2,β<3. For α=1,β=1, a transition occurs from dynamics with larger velocities at larger scales to one with larger velocities at smaller scales. In RM mixing α<αcr,β<βcr, the length scale increases with time as L~t1/(1+C), whereas the velocity decreases v~tC/(1+C), and larger velocities correspond to smaller scales v~LC; the dynamics is subdiffusive for C > 1. Kolmogorov turbulence is superdiffusive, and larger velocities are associated with larger length scales.

Symmetries and Invariant Forms.

RT mixing and homogeneous and isotropic turbulence have different symmetries. For the latter, they are Galilean transformations, translations in time, as well as rotations and reflections in space. Turbulence is also invariant under the scaling transformation LLK,vvKn, and ttK1n, conditional on ννK1+n. For vanishing viscosity, ν/vL0, the scaling exponent is n = 1/3, and the associated invariant quantity is the rate of energy dissipation ε=ν(vi/xi)2, with εεK3n1.

RT mixing is noninertial and invariant under translations, rotations, and reflection only in the plane normal to the acceleration g. For variable accelerations (α>αcr,β>βcr), the dynamics is also invariant with respect to scaling transformation LLK,vvKn,ttK1n, conditional on ννK1+n and on GGKn(α+2)(α+1) for g=Gtα, and G¯G¯K2n(β+1) for g=G¯hβ. For vanishing viscosity ν/vL0, in the case g=Gtα, the scaling exponent n=(α+1)/(α+2) leads to the invariance of the quantities that we refer to as modified rate of momentum loss and gain, given by M~vα+2/Lα+1 and M˜=G, respectively. For g=G¯hβ, the scaling exponent is n=(β+1)/2, and the invariant quantities are M¯~v2/Lβ+1 and M¯˜~G¯. The invariant quantities in the two cases relate as M¯=M(1β) and M¯˜~M˜(1β), with β=α/(2+α).

In RM mixing with variable accelerations (α<αcr,β<βcr), the invariant quantities are the critical values of the modified rate of momentum loss Mcr~vαcr+2/Lαcr+1 and M¯cr~v2/Lβcr+1, whereas the scaling exponent is n=(αcr+1)/(αcr+2)=(βcr+1)/2=C.

One can view the quantities M and M˜ (as well as M¯ and M˜¯) as fractional derivatives α/tα (or β/zβ) of the loss and gain of specific momentum in the direction of g. The quantity Mcr can be considered the αcr-th order t-derivative of the momentum loss in the direction of g, while M˜¯ denotes the βcr-th derivative of the momentum loss in direction g.

In RT (RM) mixing with α>αcr (α<αcr) for time-varying acceleration g=Gtα and with β>βcr (β<βcr) for space-varying acceleration g=G¯hβ, the invariance of M(Mcr) and M¯(M¯cr) implies that there is a nondissipative interscale transport (8, 16, 17, 23). The situation is similar to isotropic turbulence, where the invariance of energy-dissipation rate ε is compatible with the existence of an inertial range of one to four.

In RT mixing (α>αcr,β>βcr), the invariance of M and M¯ leads to ε~t(2α+1) and ε~L(3β+1)/2 and to μ~tα and μ~Lβ. The rate of energy dissipation is scale-independent only for α=1/2 and β=1/3, whereas the rate of momentum loss is constant only for α=β=0. In RM mixing, α<αcr and β<βcr, rates of energy dissipation and momentum loss decay with time and with length scale for any C (always positive), as ε~t(1+3C)/(1+C)~L(1+3C) and μ~t(1+2C)/(1+C)~L(1+2C).

Enstrophy and helicity are the other invariants in classical turbulence (27, 28). In RT/RM mixing with variable accelerations, these quantities are, in general, scale-dependent.

Scaling Laws and Correlations.

In RT mixing for which α>αcr and β>βcr, the invariant properties of M and M¯ lead to vα+2/Lα+1~vl(α+2)/lα+1 and v2/Lβ+1~vl2/lα+1, where vl is the velocity at the length scale l. This results in the scaling for the velocity as vl/v~(l/L)(α+1)/(α+2) and vl/v~(l/L)(β+1)/2 and in the N-th order structure functions ~(Ml(α+1))N/(α+2) and ~(M¯l(β+1))N/2. In Kolmogorov turbulence, the velocity scaling is vl/v~(l/L)1/3, and the N-th order structure function is (lε)N/3 because of the invariant form of ε~v3/L. Thus, we find that, when compared to Kolmogorov turbulence, the velocity correlations in RT mixing are stronger (weaker) for α>1/2 and β>1/3 (α<1/2 and β<1/3), and the two are the same for α=1/2 and β=1/3. In RM mixing, α<αcr and β<βcr, the invariance of Mcr and M¯cr leads to the velocity scaling vl/v~(l/L)C and to the exponent (NC) for the N-th order structure function, with larger velocities at smaller length scales.

In RT mixing, α>αcr and β>βcr, the Reynolds number Re=vL/ν is, in general, scale-dependent and is given by Re~ G2t(2α+3)/ν and Re~G¯1/2L(β+3)/2/ν. Defining the local Reynolds number as Rel~vll/ν, we find the Reynolds-number scaling to be Rel/Re~(l/L)(2α+3)/(α+2) and Rel/Re~(l/L)(β+3)/2 and the viscous scale to be lν~(να+2/M)1/(2α+3) and lν~(ν2/M¯)1/(β+3). In RT mixing, the viscous scale remains finite, is set by the viscosity and the acceleration strength, and is comparable to the fastest-growing wavelength ~(να+2/G)1/(2α+3) and ~(ν2/G¯)1/(β+3). In RM mixing, α=αcr and β=βcr, the scaling for the Reynolds number is Rel/Re=(l/L)(2αcr+3)(αcr+2) and Rel/Re~ (l/L)(βcr+3), and the viscous scale is lν~(ναcr+2/Mcr)1/(αcr+2) and lν~(ν2/M¯cr)1/(βcr+3), respectively. While the viscous scale is finite for late times in RM mixing, it is distinct from that at early times ~ν/v0, where v0 is some initial growth rate. For reference, we recall that the relations in Kolmogorov turbulence are Rel/Re~(l/L)4/3 and lν=(ν3/ε)1/4.

Fluctuations and Spectra.

Fluctuations with strengths far exceeding the noise from deterministic conditions are essential for systems to be regarded as turbulent.

To compare the strengths of velocity fluctuations caused by the dynamical process and by deterministic conditions, we consider two parcels of fluid involved in the flow with a time delay τ˜ and an initial displacement λ˜ (5). In Kolmogorov turbulence (29, 30), which is a stochastic process with self-generated fluctuations, the fluctuations ~(εvτ˜)1/3 and ~(εvλ˜)1/4 are substantially stronger than the relative velocity of the fluid parcels ~(ετ˜)1/2 and ~(ελ˜)1/3.

In RT mixing with time- and space-varying accelerations (α>αcr,β<βcr), the fluctuations ~Mτ˜α+1 and ~M¯1/2λ˜(β+1)/2 are comparable to the relative velocities of the fluid parcels, ~Mτ˜α+1 and ~M¯1/2λ˜(β+1)/2. Further, the ratio of fluctuating and mean velocities is ~(τ˜/t)α+1 and ~(λ˜/L)(β+1)/2. Similar consideration is applied to RM mixing, conditional on ααcr with MMcr and on ββcr with M¯M¯cr. Hence, in both RT and RM mixing for both time- and space-varying accelerations, the fluctuations retain the memory of the deterministic conditions. In RT mixing, the strength of fluctuations decays with time and length for α,β>1, is scale-independent for α,β=1, and increases with time and length for αcr<α<1 and βcr<β<1; it always increases with time and length in RM mixing.

In Kolmogorov turbulence, the invariance of the energy-dissipation rate leads to the kinetic energy spectrum of the form E(k)~ε2/3k5/3, where E(k) is the spectral density and k is the wavenumber, k~l1. In RT mixing with time- and space-varying accelerations (α>αcr,β>βcr), due to the invariance of their respective modified rates of momentum M and M¯, the spectral density of the specific kinetic energy has the forms E(k)~M2/(α+2)k(3α+4)/(α+2) and E(k)~M¯k(β+2). The spectrum is steeper than the Kolmogorov form for α>1/2 and β>1/3 and is less so for α(αcr,1/2) and β(βcr,1/3). The scaling exponents in E(k) may change sign for either time- or space-varying accelerations since larger velocities correspond to smaller length scales for α(αcr,1) and β(βcr,1); this is in contrast to superdiffusive turbulence having larger velocities at larger scales. In RM mixing (α<αcr and β<βcr), the spectral density is E(k)~Mcr2/(αcr+2)k(3αcr+4)/(αcr+2) and E(k)~M¯crk(βcr+2). The signs of the scaling exponents are consistent with the subdiffusive character of RM mixing.

While spectral properties of kinetic energy fluctuations in RT and RM mixing differ from those of Kolmogorov turbulence, those of density fluctuations remain the same. This is because their dynamic balances are achieved per unit mass, and their respective invariant quantities contain no fluid density. The spectra for density fluctuations are given by E(k)~ρ0ε0k1 for Kolmogorov turbulence; E(k)~ρ0M0k1 and E(k)~ρ0M¯0k1 for RT mixing with α>αcr and β>βcr; and E(k)~ρ0Mcr0k1 and E(k)~ρ0M¯cr0k1 for RM mixing with α<αcr and β<βcr; here, ρ0 is the heavy fluid density. Note the same scaling exponent –1 in all these cases.

The results of this section are summarized in Table 1.

Table 1.

Properties of Kolmogorov turbulence, RT mixing with time- and space-varying accelerations, and RM mixing

  Kolmogorov turbulence RT mixing, g~tα RT mixing, g~hβ RM mixing
 Invariant quantity ε M M¯ Mcr,M¯cr
 Scaling exponent n 1/3 (α+1)/(α+2) (β+1)/2 C
 Scaling for velocity vl/v (l/L)1/3 (l/L)(α+1)/(α+2) (l/L)(β+1)/2 (L/l)C
 Scaling for Reynolds number Rel/Re (l/L)4/3 (l/L)(2α+3)/(α+2) (l/L)(β+3)/2 (L/l)(C1)
 k-spectrum for specific kinetic energy v2 k5/3 k(3α+4)/(α+2) k(β+2) k(2C1)
 Spectral density for ρ k1 k1 k1 k1

Special Self-Similar Class

Here, we consider the change in the characteristics of self-similar RT/RM mixing for a broad range of acceleration parameters, when the acceleration varies (in time or space).

Superballistics.

For α>0 and β(0,1), RT mixing is superballistic, and the velocity correlations are strong. As α and β1, the invariant quantity is M~v/L and M¯~v2/L2; the velocity and Reynolds number scale as vl/v~(l/L) and Rel/Re~(l/L)2; and the spectral density is given by E(k)~k3.

Ballistics.

For α = 0 and β = 0, the invariant quantity is M=μ~v2/L with M~M2. The velocity and the Reynolds number scale as vl/v~(l/L)1/2 and Rel/Re~(l/L)3/2, and the spectral density is E(k)~k2. This dynamics is ballistic with strong correlations and weak fluctuations, and their strength is set by deterministic conditions, decaying as t1 and L1/2.

Super-Kolmogorov Case.

For α(1/2,0) and β(1/3,0), RT mixing is subballistic and super-Kolmogorov; that is, its correlations are stronger and spectra steeper than in Kolmogorov turbulence.

Quasi-Kolmogorov.

For α=1/2 and β=1/3, RT mixing is quasi-Kolmogorov since it has the same scaling properties, including the invariance of ε, the velocity and Reynolds-number scaling, and the spectral density is E(k)~k5/3 (29, 30). In contrast to Kolmogorov turbulence, however, fluctuations in RT mixing are sensitive to deterministic conditions, with their strength decaying as t1/2 and L1/3.

Sub-Kolmogorov.

For α<1/2 and β<1/3 in RT mixing, the correlations are weaker, and the spectral roll-off is more gradual than in Kolmogorov turbulence, even though, for α>1 and β>1, RT mixing has larger velocities at larger scales.

Steady Flex.

We call self-similar RT mixing with α,β=1 as “steady flex.” This is because the mixing has larger velocities at larger (smaller) time and length scales for α,β>1 (<1), with α,β=1 indicating an inflection point (23). For α,β=1, RT mixing has L~t, its velocities are scale-independent (vl~v), the Reynolds number scales as Rel/Re~l/L, and the velocity fluctuations are set by deterministic conditions and, hence, have constant strength, with the spectral density of the form E(k)~k1.

Superdiffusion.

For α>3/2,β>3, RT mixing is superdiffusive, even though it has larger velocities at smaller length scales for α(3/2,1),β(3,1).

Quasidiffusion.

For α=3/2,β=3, RT mixing is quasidiffusive, with the diffusion scaling law given by L~t1/2 and vl/v~(L/l) and with the scale-invariant Reynolds number Rel~Re. At α=3/2,β=3, the fluctuations are set by deterministic conditions; they increase (decrease) in strength with time (length scale) leading to the spectral density E(k)~k. The sign of the spectral exponent is consistent with the quasidiffusive character of the dynamics having larger velocities at smaller scales. For α<3/2,β<3, RT mixing is subdiffusive, and its dynamics is strongly influenced by deterministic conditions for smaller acceleration exponents.

Subdiffusive RM Mixing.

For α~αcr,β~βcr, the mixing is of the RM type. For α<αcr,β<βcr, RM mixing is independent of the acceleration and is set by the drag and the deterministic conditions; and, as a subdiffusive process, it has larger and more intense motions at small scales. The velocity and the Reynolds number scale as vl/v~(L/l)C and Rel/Re=(L/l)(C1); the strength of deterministic fluctuations increases as tC/(C+1) and LC; and the spectral density for the specific kinetic energy is E(k)~k(2C1).

RT Mixing in Laboratory Experiments

Spectral Properties.

In a special self-similar class of RT/RM mixing with variable accelerations in time and space, theoretical spectra are power laws, expected to manifest over scales l(lmin,lmax), which are far from the largest scale ~L and the smallest scale ~lν. These conditions, easily stated in theory, are a challenge to achieve in experiments, where we expect the dynamics to be scale-invariant for scales llν and be scale-dependent for l~lν. For a spectral density E(k) with k~l1, the function behaving as a scale-invariant power law ~ka for kkν and a scale-dependent exponential ~ebk for k~kν, we may expect E(k) to be a compound function of the form kaebk. As an illustration, this function will be applied below to available experimental data for the accurate evaluation of spectral shapes and scaling.

To analyze available experimental data on spectra in RT mixing, we apply a rigorous statistical technique for fitting parameters of a given spectral model to data from ref. 31. The method constructs the maximum-likelihood estimator of the fitting parameters, numerically solves the optimization problem, estimates statistical errors, verifies goodness of fit, and analyzes the dependence of the fitting parameters for the fitting range with the left and right cut-offs kl, kr (31).

Figure 1 presents the analysis of data (13) by the method of ref. 31 and illustrates the dependence of the power-law exponent a on the fitting interval k(kl,kr) for unprocessed data of the density fluctuations ρ. While for a broad range of kl and kr, the value of the power-law exponent varies, there is a narrow region in which the fit parameters have small relative errors and an acceptably high goodness-of-fit score; it is outlined within the ellipse on the left. The best fit for the density fluctuations ρ is achieved for k(55,3500) marked in red on the right.

Fig. 1.

Fig. 1.

Analysis of data on density fluctuations in RT mixing experiments (13) by the method of ref. 31. (Left) Values of the power-law exponent for a broad range of left and right cut-offs, shown on horizontal and vertical scales; the white ellipse outlines a region with small relative errors of the fitting parameters and with high goodness-of-fit score. (Right) Spectral shape with the unprocessed data (gray), the data from the best-fit interval (red), and the compound function S(k)~kaekb (solid curve). The fit evolves into a constant for the high-wavenumber region to the right of the red part, which is influenced by experimental noise (32).

Table 2 presents the analysis of raw data of fluctuations spectra in RT mixing with constant g in fluid experiments (13) (velocity v2, density ρ); the data analysis has been conducted by Mr. K.C. Williams (32). These results are available in the supporting information and will be published separately. In the domain k(kl,kr), where relative errors of the fit parameters are the smallest and the goodness-of-fit score is high, the experimental data agree with our theory. Particularly, the power-law exponents for the velocity and density fluctuations conform to their theoretical values in the k-spectrum at α=β=0, to within about 3%. Furthermore, the scale set by the exponential decay rate |b|1 for velocity fluctuations v2 is comparable within ~30% to the scale kν~lν. Note that for density fluctuations ρ, the scale set by the exponential decay rate |b|1 differs from kν by a factor of four. This indicates that RT mixing remains heterogeneous at small scales.

Table 2.

Spectral shape parameters in an experiment on RT mixing (13)

  a b kν|b| lg(kr/kl)
 v2 2.04±0.06 (1.02±0.05)×103 1.35 1.60
 ρ 1.03±0.03 (3.01±0.08)×103 3.98 1.80

Sensitivity to Deterministic Conditions.

We can similarly analyze the data in plasma experiments (33). Remarkably, in plasma experiments (33) with Re~7×106, the power-law spectrum spans a decade or so, similar to those (13) in fluids with Re~3.4×104. In Kolmogorov turbulence, the ratio between the integral and viscous scales is Re3/4, leading technically to ~6.8 and ~4.5 decades in the two experiments, respectively. The relatively short and decade-wide range of scales of the inertial range found in the experiments (13, 33) indicates, to some extent, the deterministic rather than stochastic character of RT mixing, in agreement with our analysis.

Sensitivity of RT/RM mixing to deterministic conditions for all accelerations and Reynolds numbers is an important outcome of group-theory analysis. It explains the experiments (810) on RT mixing conducted for a broad range of parameters and conditions, including steady and variable accelerations, and periodic and localized perturbations of the interface and flow fields. In the experiments (810), RT mixing remains interfacial, heterogeneous, and anisotropic, and it retains the memory of deterministic and initial conditions at the Reynolds numbers Re~3.2×106, in conformity with our results.

Laminarization of Accelerated Flows.

Our analysis finds that for accelerations g~tα,α>1/2 and g~hβ,β>1/3, the correlations in RT mixing are stronger and spectra are steeper than in Kolmogorov turbulence. Hence, strongly accelerated RT mixing may laminarize. Our results are consistent with experiments in accelerated boundary layers (3437), which laminarize when rapidly accelerated. In our analysis, rapid accelerations correspond to large acceleration exponents.

Interplay between Acceleration and Turbulence.

Our theory explains experiments and simulations of RT mixing with constant acceleration, which found the kinetic energy spectra to be steeper than Kolmogorov’s (18). It also explains the flattening of initially steep spectra of the kinetic energy in simulations of RM mixing (16). It further clarifies why spectra of density fluctuations in RT/RM mixing and Kolmogorov turbulence obey the same scaling: In all these cases, the dynamic balances are achieved per unit mass. Hence, our results apply to a study of the interplay of turbulence with acceleration. The theory says that RT mixing is quasi-Kolmogorov for the acceleration exponent α=1/2. Does this imply that variable acceleration g~t1/2 produces and maintains turbulence the same way as Kolmogorov turbulence? Our theory suggests that it is possible, conditional on the existence of a source supplying energy at a constant rate and the flow becoming homogeneous and isotropic. While the acceleration may quickly set appropriate scaling laws, one needs a source of turbulent energy, as well as a high Reynolds number (i.e., large span of scales) to maintain strong and stochastic fluctuations.

Anomalous Scaling.

The departures from the Kolmogorov scaling laws appear to be clear in realistic turbulent processes (3841). They are often referred to as “anomalous scaling.” Our analysis finds that RT/RM mixing with variable accelerations (in time and in space) belong to a special self-similar class and exhibit significant departures in terms of invariant, scaling, spectral, and correlation properties from Kolmogorov turbulence. This suggests that these types of anomalies can be rather normal and that one can systematically incorporate realistic environments into a self-consistent format (11, 12).

Discussion

It is amazing that RT mixing, whose simple paradigm is that of an overturned cup of water (8), is encountered in many processes in nature and applications, from supernovae and fusion to fossil-fuel recovery. This paper has focused on the effect of variable accelerations on self-similar RT mixing—particularly on its scaling, correlations, and spectra.

We have studied properties of RT/RM dynamics with accelerations varying in both time and space. Within the group-theory approach (20, 22), we elaborated on the concept of the invariance of the modified rate of momentum loss and identified special classes of self-similarity. We found that self-similar dynamics of RT/RM mixing can vary from superballistic to subdiffusive, depending on the accelerations, and retains the memory of the deterministic conditions for any acceleration. We have analyzed available experimental data and found excellent quantitative and qualitative agreement with a broad range of experiments and simulations in fluids and plasmas (810, 13, 19, 33). These rich properties of RT/RM dynamics with variable accelerations emphasize the need for further experimental and numerical studies of RT/RM dynamics, achieving substantial spans of spatial and temporal scales, higher precision, and larger amounts of data, in order to accurately quantify the interplay of accelerations, unstable interfaces, and deterministic conditions in realistic environments (38). Our results help the understanding of natural phenomena for which RT/RM mixing is critically important, such as supernovae and fusion (20, 21). In summary, the motion of water from an overturned cup remains an inspiration for researchers in science, mathematics and engineering and is still a source of open problems to a curious mind.

Acknowledgments

The authors thank Mr. Kurt Williams for his help in preparing Figure 1.

Footnotes

Reviewers: A.P., National Center for Atmospheric Research; and P.V., The University of New Mexico.

The authors declare no competing interest.

*While the rate of energy dissipation is ε=Cv3/L in both RT mixing and Kolmogorov turbulence, the momentum and energy in RT mixing are gained by buoyancy, while the energy input in Kolmogorov turbulence arises from an external source operating at the large scale.

Data Availability

There are no data underlying this work.

References

  • 1.Lord R., Investigation of the character of the equilibrium of an incompressible heavy fluid of variable density. Proc. Lond. Math. Soc. 14, 170–177 (1883). [Google Scholar]
  • 2.Davies R. M., Taylor G. I., The mechanics of large bubbles rising through extended liquids and through liquids in tubes. Proc. R. Soc. Lond. A Math. Phys. Sci. 200, 375–390 (1950). [Google Scholar]
  • 3.Richtmyer R. D., Taylor instability in shock acceleration of compressible fluids. Commun. Pure Appl. Math. 13, 297–319 (1960). [Google Scholar]
  • 4.Meshkov E. E., Instability of the interface of two gases accelerated by a shock. Sov. Fluid. Dyn. 4, 101–104 (1969). [Google Scholar]
  • 5.Landau L. D., Lifshitz E. M., Course of Theoretical Physics I-XX (Pergamon Press, New York, 1987). [Google Scholar]
  • 6.Zeldovich Y. B., Raizer Y. P., Physics of Shock Waves and High-Temperature Hydrodynamic Phenomena (Dover, New York, English ed. 2, 2002). [Google Scholar]
  • 7.Arnett D., Supernovae and Nucleosynthesis: An Investigation of the History of Matter, from the Big Bang to the Present (Princeton University Press, Princeton, NJ, 1996). [Google Scholar]
  • 8.Anisimov S. I., Drake R. P., Gauthier S., Meshkov E. E., Abarzhi S. I., What is certain and what is not so certain in our knowledge of Rayleigh-Taylor mixing? Philos. Trans.- Royal Soc., Math. Phys. Eng. Sci. 371, 20130266 (2013). [DOI] [PubMed] [Google Scholar]
  • 9.Meshkov E., Some peculiar features of hydrodynamic instability development. Philos. Trans.- Royal Soc. Math. Phys. Eng. Sci. 371, 20120288 (2013). [DOI] [PubMed] [Google Scholar]
  • 10.Meshkov E. E., Abarzhi S. I., On Rayleigh-Taylor interfacial mixing. Fluid Dyn. Res. 51, 065502 (2019). [Google Scholar]
  • 11.Abarzhi S. I., Goddard W. A., Interfaces and mixing: Non-equilibrium transport across the scales. Proc. Natl. Acad. Sci. USA 116, 18171–18174 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Abarzhi S. I., Gauthier S., Sreenivasan K. R., Turbulent mixing and beyond: Non-equilibrium processes from atomistic to astrophysical scales. Philos. Trans.- Royal Soc., Math. Phys. Eng. Sci. 371, 20120435 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Akula B., Suchandra P., Mikhaeil M., Ranjan D., Dynamics of unstably stratified free shear flows: An experimental investigation of coupled Kelvin–Helmholtz and Rayleigh–Taylor instability. J. Fluid Mech. 816, 619–660 (2017). [Google Scholar]
  • 14.Glimm J., Sharp D. H., Kaman T., Lim H., New directions for Rayleigh-Taylor mixing. Philos. Trans.- Royal Soc., Math. Phys. Eng. Sci. 371, 20120183 (2013). [DOI] [PubMed] [Google Scholar]
  • 15.Kadau K., Barber J. L., Germann T. C., Holian B. L., Alder B. J., Atomistic methods in fluid simulation. Philos. Trans.- Royal Soc., Math. Phys. Eng. Sci. 368, 1547–1560 (2010). [DOI] [PubMed] [Google Scholar]
  • 16.Thornber B., et al., Late-time growth rate, mixing, and anisotropy in the multimode narrowband Richtmyer–Meshkov instability: The θ-group collaboration. Phys. Fluids 29, 105107 (2017). [Google Scholar]
  • 17.Neuvazhaev V. E., Theory of turbulent mixing. Sov. Phys. Dokl. 20, 398–400 (1975). [Google Scholar]
  • 18.Ristorcelli J. R., Clark T. T., Rayleigh–Taylor turbulence: Self-similar analysis and direct numerical simulations. J. Fluid Mech. 507, 213–253 (2004). [Google Scholar]
  • 19.Swisher N. C., et al., Rayleigh-Taylor mixing in supernova experiments. Phys. Plasmas 22, 102707 (2015). [Google Scholar]
  • 20.Abarzhi S. I., et al., Supernova, nuclear synthesis, fluid instabilities, and interfacial mixing. Proc. Natl. Acad. Sci. U.S.A. 116, 18184–18192 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Remington B. A., et al., Rayleigh-Taylor instabilities in high-energy density settings on the National Ignition Facility. Proc. Natl. Acad. Sci. U.S.A. 116, 18233–18238 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Abarzhi S. I., Self-similar interfacial mixing with variable acceleration. Phys. Fluids 33, 122110 (2021). [Google Scholar]
  • 23.Abarzhi S. I., On fundamentals of Rayleigh-Taylor turbulent mixing. Europhys. Lett. 91, 35001 (2010). [Google Scholar]
  • 24.Abarzhi S. I., Review of theoretical modelling approaches of Rayleigh-Taylor instabilities and turbulent mixing. Philos. Trans.- Royal Soc., Math. Phys. Eng. Sci. 368, 1809–1828 (2010). [DOI] [PubMed] [Google Scholar]
  • 25.Sedov L., Similarity and Dimensional Methods in Mechanics (CRC Press, Boca Raton, FL, ed. 10, 1993). [Google Scholar]
  • 26.Sreenivasan K. R., Abarzhi S.I., Acceleration and turbulence in Rayleigh-Taylor mixing. Phil. Trans. Royal Soc. A Math. Phys. Eng. Sci. 371, 20130267 (2013). [DOI] [PubMed] [Google Scholar]
  • 27.Moreau J. J., Constantes d’un îlot tourbillonnaire en fluid parfait barotrope. C. R. H ebd. Séances Acad. Sci. Par is 252, 2810–2812 (1961). [Google Scholar]
  • 28.Moffatt H. K., The degree of knottedness of tangled vortex lines. J. Fluid Mech. 35, 117–129 (1969). [Google Scholar]
  • 29.Kolmogorov A. N., Local structure of turbulence in an incompressible fluid for very large Reynolds numbers. Dokl. Akad. Nauk SSSR 30, 301–305 (1941). [Google Scholar]
  • 30.Kolmogorov A. N., Energy dissipation in locally isotropic turbulence. Dokl. Akad. Nauk SSSR 32, 19 (1941). [Google Scholar]
  • 31.Pfefferlé D., Abarzhi S. I., Whittle maximum likelihood estimate of spectral properties of Rayleigh-Taylor interfacial mixing using hot-wire anemometry experimental data. Phys. Rev. E 102, 053107 (2020). [DOI] [PubMed] [Google Scholar]
  • 32.Williams K. C., “Fluctuations Spectra in Rayleigh-Taylor Interfacial Mixing” in 2022 March Meeting of the American Physical Society, Chicago, IL. https://meetings.aps.org/Meeting/MAR22/Session/G00.289 (Accessed 31 October 2022). [Google Scholar]
  • 33.Rigon G., et al., Micron-scale phenomena observed in a turbulent laser-produced plasma. Nat. Commun. 12, 2679 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Narasimha R., Sreenivasan K. R., Relaminarization in highly accelerated turbulent boundary layers. J. Fluid. Mech. 61, 417–447 (1973). [Google Scholar]
  • 35.Narasimha R., Sreenivasan K. R., Relaminarization of fluid flows. Adv. Appl. Mech. 19, 221–309 (1979). [Google Scholar]
  • 36.Sreenivasan K. R., Strykowski P. J., Stabilization effects in flow through helically coiled pipes. Exp. Fluids 1, 31–36 (1983). [Google Scholar]
  • 37.Sreenivasan K. R., Laminarescent, relaminarizing and retransitional flows. Acta Mech. 44, 1–48 (1982). [Google Scholar]
  • 38.Sreenivasan K. R., Antonia R. A., The phenomenology of small-scale turbulence. Annu. Rev. Fluid Mech. 28, 435–472 (1997). [Google Scholar]
  • 39.Pouquet A., Mininni P. D., The interplay between helicity and rotation in turbulence: Implications for scaling laws and small-scale dynamics. Phil. Trans. R Soc. A 368, 1635– 1662 (2010). [DOI] [PubMed] [Google Scholar]
  • 40.Yakhot V., Donzis D., Emergence of multiscaling in a random-force stirred fluid. Phys. Rev. Lett. 119, 044501 (2017). [DOI] [PubMed] [Google Scholar]
  • 41.Klewicki J. C., Chini G. P., Gibson J. F., Prospectus: Towards the development of high-fidelity models of wall turbulence at large Reynolds number. Philos. Trans.- Royal Soc., Math. Phys. Eng. Sci. 375, 20160092 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

There are no data underlying this work.


Articles from Proceedings of the National Academy of Sciences of the United States of America are provided here courtesy of National Academy of Sciences

RESOURCES