Late-Time Mixing Sensitivity to Initial Broadband Surface Roughness in High-Energy-Density Shear Layers

Flippo, Kirk; Doss, F. W.; Kline, J. L.; Merritt, Elizabeth; Capelli, Deanna; Cárdenas, T.; DeVolder, B.G.; Fierro, F.; Huntington, C. M.; Kot, L.; Loomis, Eric; MacLaren, S. A.; Murphy, T. J.; Nagel, S. R.; Perry, T. S.; Randolph, R. B.; Rivera, Gerald; Schmidt, D. W.

doi:10.1103/physrevlett.117.225001

Cited by 26 publications

(6 citation statements)

References 41 publications

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“…RMI differs significantly from Kelvin-Helmholtz instability (KHI) and closely related Rayleigh-Taylor instability (RTI) a) UK Ministry of Defence c Crown Owned Copyright 2019/AWE b) Electronic mail: ben.thornber@sydney.edu.au in that the driving is impulsive. With a sufficiently strong impulse, time to develop, and high Reynolds number, linear growth will be followed by a transition to turbulence, where velocity fluctuations decay in time, and the layer grows at a relatively slow rate ∝ t θ with θ ≈ 0.2 to 1 (possible if dominated by linear modes, although a fully turbulent layer is limited to 8 θ ≤ 2/3) with a strong dependence on initial conditions [9][10][11][12][13][14][15] . As an example θ ≈ 0.29 for the configuration studied in this paper 16 , compared to KHI (∝ t) and RTI (∝ t 2 ).…”

Section: Introductionmentioning

confidence: 99%

Turbulent transport and mixing in the multimode narrowband Richtmyer-Meshkov instability

et al. 2019

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The mean momentum and heavy mass fraction, turbulent kinetic energy, and heavy mass fraction variance fields, as well as the budgets of their transport equations, are examined at several times during the evolution of a narrowband Richtmyer-Meshkov instability initiated by a Mach 1.84 shock traversing a perturbed interface separating gases with a density ratio of 3. The results are computed using the 'quarter scale' data from four algorithms presented in the θ -group study of Thornber et al. [Phys. Fluids 29, 105107 (2017)]. The present study is inspired by a previous similar study of Rayleigh-Taylor instability and mixing using direct numerical simulation data by Schilling and Mueschke [Phys. Fluids 22, 105102 (2010)]. In addition to comparing the predictions of the data from four implicit large-eddy simulation codes, the budgets are used to quantify the relative importance of the terms in the transport equations, and the balance of the terms is employed to infer the numerical dissipation. Terms arising from the compressibility of the flow are examined in particular, i.e., the pressure-dilatation. The results are useful for validation of large-eddy simulation and Reynolds-averaged modeling of Richtmyer-Meshkov instability.

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Section: Introductionmentioning

confidence: 99%

Turbulent transport and mixing in the multimode narrowband Richtmyer-Meshkov instability

et al. 2019

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“…Numerical data are advantageous for LWN model validation because higher order quantities such as spectra can be extracted for more detailed comparisons. While experimental efforts do not carry the same granularity of information as simulations, the LANL also has invested resources in high energy density experiments to study shocked and sheared mixing [118], which could also be used as validation data for global mean quantities of interest. In the realm of single and two-fluid mixing, the data appear to be quite extensive.…”

Section: Discussionmentioning

confidence: 99%

The local wavenumber model for computation of turbulent mixing

Kurien

Pal

2022

Phil. Trans. R. Soc. A.

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We present an overview of the current status in the development of a two-point spectral closure model for turbulent flows, known as the local wavenumber (LWN) model. The model is envisioned as a practical option for applications requiring multi-physics simulations in which statistical hydrodynamics quantities such as Reynolds stresses, turbulent kinetic energy, and measures of mixing such as density-correlations and mix-width evolution, need to be captured with relatively high fidelity. In this review, we present the capabilities of the LWN model since it was first formulated in the early 1990s, for computations of increasing levels of complexity ranging from homogeneous isotropic turbulence, inhomogeneous and anisotropic single-fluid turbulence, to two-species mixing driven by buoyancy forces. The review concludes with a discussion of some of the more theoretical considerations that remain in the development of this model. This article is part of the theme issue ‘Scaling the turbulence edifice (part 2)’.

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“…Another series of HEDP turbulent experiments were developed in a shock-shear driven planar geometry on OMEGA and NIF [171][172][173]. Starting from initial surface roughness, signatures of 3D self-similar turbulent evolution were measured [174].…”

Section: (B) Fundamental High-energy-density Hydrodynamicsmentioning

confidence: 99%

Recent progress in quantifying hydrodynamics instabilities and turbulence in inertial confinement fusion and high-energy-density experiments

Casner

2020

Phil. Trans. R. Soc. A.

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Since the seminal paper of Nuckolls triggering the quest of inertial confinement fusion (ICF) with lasers, hydrodynamic instabilities have been recognized as one of the principal hurdles towards ignition. This remains true nowadays for both main approaches (indirect drive and direct drive), despite the advent of MJ scale lasers with tremendous technological capabilities. From a fundamental science perspective, these gigantic laser facilities enable also the possibility to create dense plasma flows evolving towards turbulence, being magnetized or not. We review the state of the art of nonlinear hydrodynamics and turbulent experiments, simulations and theory in ICF and high-energy-density plasmas and draw perspectives towards in-depth understanding and control of these fascinating phenomena. This article is part of a discussion meeting issue ‘Prospects for high gain inertial fusion energy (part 2)’.

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Late-Time Mixing Sensitivity to Initial Broadband Surface Roughness in High-Energy-Density Shear Layers

Cited by 26 publications

References 41 publications

Turbulent transport and mixing in the multimode narrowband Richtmyer-Meshkov instability

Turbulent transport and mixing in the multimode narrowband Richtmyer-Meshkov instability

The local wavenumber model for computation of turbulent mixing

Recent progress in quantifying hydrodynamics instabilities and turbulence in inertial confinement fusion and high-energy-density experiments

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