Local Wave Number Model for Inhomogeneous Two-Fluid Mixing

Nairita Pal*, Ismael Boureima, Noah Braun, Susan Kurien, Praveen Ramaprabhu, Andrew G W Lawrie

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

4 Citations (Scopus)
77 Downloads (Pure)

Abstract


We present a study of a two-point spectral turbulence model (Local Wave-Number model or LWN model) for the Rayleigh-Taylor (RT) instability. The model outcomes are compared with statistical quantities extracted from three-dimensional simulation of the RT problem. These simulations are initialized with high wavenumber perturbations at the interface of a heavy fluid placed on top of a light fluid so that the density gradient is in the direction opposite to acceleration due to gravity. We consider flows of low to medium density contrast and compare the LWN model against simulation data using the mix-width evolution as the primary metric. The original model specified physically reasonable but largely ad hoc terms to account for the inhomogeneous mechanisms involved in growing the mixing layer. We systematically assess the role of each of the terms in the LWN model equations by comparison with simulation. Two of these, the kinematic source term, introduced to maintain a finite covariance between density and specific volume, and a spectral distortion term, introduced as spectral modifications of the density-specific-volume covariance, both result in severely over-predicting the mix layer growth. A simplified model eliminating those two terms is shown to improve the capture of both mix-width evolution as well as the turbulent mass flux velocity profiles across the mix layer at different times. However, this simplification reveals that fidelity to other metrics such as the density-specific-volume covariance, and the turbulent kinetic energy are somewhat compromised. The implications of this outcome are discussed with respect to the physics of the RT problem, and we provide this study as a guide for the practical use of such a model.
Original languageEnglish
Article number025105
JournalPhysical Review E
Volume104
Issue number2
DOIs
Publication statusPublished - 16 Aug 2021

Bibliographical note

Funding Information:
We thank the anonymous reviewers for motivating much of the effort described in Sec.. The authors thank Timothy T. Clark (University of New Mexico) for useful discussions. N.P., I.B., and S.K. were funded by the Mix and Burn project under the Physics and Engineering Models program of the DOE Advanced Simulation and Computing program. Work at LANL was performed under the auspices of Triad National Security, LLC which operates Los Alamos National Laboratory under Contract No. 89233218CNA000001 with the U.S. Department of Energy/National Nuclear Security Administration.

Publisher Copyright:
© 2021 American Physical Society.

Keywords

  • Turbulent mixing
  • Fluid Dynamics

Fingerprint

Dive into the research topics of 'Local Wave Number Model for Inhomogeneous Two-Fluid Mixing'. Together they form a unique fingerprint.

Cite this