A comparison of mix models for the Rayleigh–Taylor instability

Four mix models, implemented into an Arbitrary Lagrangian–Eulerian (ALE) multi-physics code, are compared on simulations of the Rayleigh–Taylor instability. The specific models of interest are a mass diffusion model, the k – L turbulence model, the BHR turbulence model, and a multifluid interpenetra...

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Veröffentlicht in:Computer physics communications 2012, Vol.183 (1), p.70-79
Hauptverfasser: Waltz, J., Gianakon, T.A.
Format: Artikel
Sprache:eng
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Zusammenfassung:Four mix models, implemented into an Arbitrary Lagrangian–Eulerian (ALE) multi-physics code, are compared on simulations of the Rayleigh–Taylor instability. The specific models of interest are a mass diffusion model, the k – L turbulence model, the BHR turbulence model, and a multifluid interpenetration mix model. The bubble growth rates produced by the different models are compared to experimentally determined growth rates. The diffusion model reproduces the characteristic t 1 / 2 growth for diffusion processes and therefore does not reproduce instability growth rates, as expected. The k – L and BHR turbulence models reproduce the nominal instability growth rates at multiple Atwood numbers with a single set of model parameters. The multifluid interpenetration model exhibits diffusion-like behavior and therefore does not reproduce instability growth rates. All four models exhibit Cauchy-like convergence in the mixing layer width with decreasing mesh size, although the multifluid model exhibits both a larger error for a given mesh size and a slower convergence rate than the turbulence models. ► Four mix models have been compared on a Rayleigh–Taylor instability problem. ► The models span a range of physical processes from diffusion to turbulent mixing. ► The results suggest that multiple processes may drive mix in RT-unstable state.
ISSN:0010-4655
1879-2944
DOI:10.1016/j.cpc.2011.08.018