Self-consistent, high-order spatial profiles in a model for two-fluid turbulent mixing

Brandon E. Morgan
Phys. Rev. E 104, 015107 – Published 22 July 2021

Abstract

A Reynolds-averaged Navier-Stokes model is presented with the property that it admits self-consistent, high-order spatial profiles in simulations of two-fluid turbulent mixing layers. Whereas previous models have been limited by the assumption of a linear mixing profile, the present paper relaxes this assumption and, as a result, is shown to achieve much better agreement with experimental profiles. Similarity analysis is presented to derive constraints on model coefficients to enforce desired self-similar growth rates that are fully consistent with the high-order spatial profiles. Through this similarity analysis, it is shown that care must be taken in model construction, as it is possible to construct certain terms in such a way as to leave growth rates unconstrained. This model, termed the kϕLaV model, is then applied in simulations of Rayleigh-Taylor, Richtmyer-Meshkov, and Kelvin-Helmholtz mixing layers. These simulations confirm that the expected growth parameters are recovered and high-order spatial profiles are maintained.

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  • Received 23 March 2021
  • Revised 4 June 2021
  • Accepted 7 July 2021

DOI:https://doi.org/10.1103/PhysRevE.104.015107

©2021 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

Brandon E. Morgan

  • Lawrence Livermore National Laboratory Livermore, California 94550, USA

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Issue

Vol. 104, Iss. 1 — July 2021

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