Self-similar scaling of variable-density Rayleigh-Taylor turbulence
Chian Yeh Goh, Daniel Brito Matehuala, Guillaume Blanquart

TL;DR
This study investigates self-similar Rayleigh-Taylor turbulence across various density ratios, developing normalized quantities and a unified growth scaling law that remains consistent regardless of Atwood number variations.
Contribution
It introduces a new effective Atwood number and a corresponding growth parameter that unify the scaling of variable-density RT turbulence across different density ratios.
Findings
Normalized quantities collapse well across parameter space
Effective Atwood number provides a consistent growth scaling
Growth parameter remains nearly constant across Atwood numbers
Abstract
The dynamics of self-similar Rayleigh-Taylor (RT) mixing layers are investigated across a broad range of Atwood and Reynolds numbers using the statistically stationary Rayleigh-Taylor (SRT) flow configuration - a computational framework that enables simulation of self-similar RT flows at reduced cost compared to conventional temporally growing mixing layers. Normalizations are developed for all dominant non-transport terms in the continuity, mixed mass, and turbulent kinetic energy budgets in terms of the input parameters: the mixing layer height , gravitational acceleration , and fluid densities and . Most normalized quantities collapse well across the parameter space. In some cases, variations in the Atwood number (or equivalently, the density ratio ) lead to consistent integral magnitudes but spatially shifted profiles. These shifts are primarily related…
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