XIE Hansong, XIAO Mengjuan, ZHANG Yousheng. A new idea for the unified RANS predictions of turbulent mixing induced by interfacial instabilities[J]. 2024, 42(9): 1-13.
XIE Hansong, XIAO Mengjuan, ZHANG Yousheng. A new idea for the unified RANS predictions of turbulent mixing induced by interfacial instabilities[J]. 2024, 42(9): 1-13.DOI: 10.7638/kqdlxxb-2024.0021.
A new idea for the unified RANS predictions of turbulent mixing induced by interfacial instabilities
Accurate predictions of turbulent mixing phenomena induced by interfacial instabilities such as Rayleigh-Taylor (RT)
Richtmyer-Meshkov (RM)
and Kelvin-Helmholtz (KH) hold significant scientific and engineering importance. In engineering practice
utilizing Reynolds-averaged Navier-Stokes (RANS) model
which is mainly consisted of physical model and model coefficients
to simulate the aforementioned problems is currently and foreseeably the mainstream approach. However
the coupling of multiple complexities in actual engineering problems poses a great challenge for RANS models to uniformly predict different mixing problems. To address that
based on engineering application viewpoint
this study firstly proposes an asymptotic-ideal unified RANS prediction idea and a new method for determining turbulence mixing model coefficients. Then these concepts are applied to the three mainstream RANS mixing models in mixing field. Finally
this study systematically verifies the ability of the model in predicting different mixing problems with the same set of model and coefficients. Here
the investigated problems include both the basic problems
i.e. classical RT
RM
and KH mixing
and complex problems
i.e. re-shocked RM mixing
RT mixing with initial tilted interface and spherical implosion mixing. The temporal evolutions of mixing width agree well with the existing experiments or high-fidelity numerical simulations. This study systematically verifies the applicability and robustness of the asymptotic-ideal unified RANS predictions idea and methodology for determining model coefficients in turbulent mixing field. This work lays a solid foundation for the engineering application of RANS turbulence mixing models
and its core idea is expected to be applied to turbulence models in other fields.
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references
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