Testing a Novel Transition Model for Mixing Layers with DNS Data
ORAL
Abstract
We propose to test a new transition-sensitized RANS model in the linear disturbance limit,
considering shear (Kelvin-Helmholtz) and buoyant (Rayleigh-Taylor) instabilities. Notably, the
model includes equations for the full Reynolds-stress tensor, deviating from the common practice
of transition models, which simulate only the transport of turbulent kinetic energy. This allows
for the exact closure of shear-production terms in the Reynolds-stress transport equations. The
new model also includes an explicit closure for the pressure-diffusion term, which is normally
neglected, but is shown to be critical in transition. In order to test the model, we compare
solutions to the specific forms of the equations for pure Rayleigh-Taylor and Kelvin-Helmoltz
instabilities with data from direct numerical simulation (DNS) for the same cases, using initial
conditions derived from linear stability theory. The results of these comparisons will both speak
to the validity of the transition model and provide guidance for potential modifications.
considering shear (Kelvin-Helmholtz) and buoyant (Rayleigh-Taylor) instabilities. Notably, the
model includes equations for the full Reynolds-stress tensor, deviating from the common practice
of transition models, which simulate only the transport of turbulent kinetic energy. This allows
for the exact closure of shear-production terms in the Reynolds-stress transport equations. The
new model also includes an explicit closure for the pressure-diffusion term, which is normally
neglected, but is shown to be critical in transition. In order to test the model, we compare
solutions to the specific forms of the equations for pure Rayleigh-Taylor and Kelvin-Helmoltz
instabilities with data from direct numerical simulation (DNS) for the same cases, using initial
conditions derived from linear stability theory. The results of these comparisons will both speak
to the validity of the transition model and provide guidance for potential modifications.
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Presenters
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Christopher Pezanosky
University of Chicago
Authors
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Christopher Pezanosky
University of Chicago
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Vincent Laroche
University of California, Berkeley
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Daniel M israel
Los Alamos National Laboratory
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Filipe Pereira
Los Alamos National Laboratory
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Anthony P Haas
Los Alamos National Laboratory