Quantifying mixing of Rayleigh-Taylor turbulence

You-sheng Zhang, Wei-dan Ni, Yu-cang Ruan, and Han-song Xie
Phys. Rev. Fluids 5, 104501 – Published 19 October 2020; Erratum Phys. Rev. Fluids 7, 129901 (2022)

Abstract

Accurate quantification of turbulent mixing induced by classical Rayleigh-Taylor instability is of fundamental importance for many natural phenomena and engineering applications. However, a systematic model to predict its evolution at different mixing levels and different density ratios (R) has not been established. In this paper, the mixing width is predicted by combining the principle of mass conservation and mean density profile. The mean density profile, as well as the mean profiles of mass fraction and molar/volume fraction, are predicted with R-invariant hybrid species profiles from asymptotic analysis. The unknown turbulent fluctuations are closed with the predicted mean quantities, yielding analytical predictions for mixing degree and mixed mass. The predictions agree very well with previous experiments and simulations, explaining the distinct differences that exist among the famous experiments.

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  • Received 21 June 2020
  • Accepted 3 September 2020

DOI:https://doi.org/10.1103/PhysRevFluids.5.104501

©2020 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Erratum

Erratum: Quantifying mixing of Rayleigh-Taylor turbulence [Phys. Rev. Fluids 5, 104501 (2020)]

You-sheng Zhang, Wei-dan Ni, Yu-cang Ruan, and Han-song Xie
Phys. Rev. Fluids 7, 129901 (2022)

Authors & Affiliations

You-sheng Zhang1,2, Wei-dan Ni1,*, Yu-cang Ruan3, and Han-song Xie1,†

  • 1Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
  • 2Center for Applied Physics and Technology, HEDPS, and College of Engineering, Peking University, Beijing 100871, China
  • 3Beihang University, Sino-French Engineer School, Beijing 100191, China

  • *niweidan@buaa.edu.cn
  • xiehansong19@gscaep.ac.cn

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Issue

Vol. 5, Iss. 10 — October 2020

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