Statistics – Computation
Scientific paper
Jun 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994stin...9519773m&link_type=abstract
Presented at the 2nd European Computational Fluid Dynamics Conference, Stuttgart, Germany, 5-8 Sep. 1994
Statistics
Computation
Afterbodies, Axisymmetric Flow, Computational Fluid Dynamics, Jet Flow, Navier-Stokes Equation, Reynolds Stress, Transonic Flow, Turbulence Models, Turbulent Flow, Grid Generation (Mathematics), Mathematical Models, Pressure Distribution, Robustness (Mathematics), Runge-Kutta Method, Separated Flow, Velocity Distribution
Scientific paper
Turbulent Navier-Stokes solutions for axisymmetric, transonic afterbody/jet flows are presented. The predictive capabilities of three turbulence models, namely a zero-equation model, a two-equation model and an algebraic Reynolds stress model are assessed by comparison with experiment. The algebraic Reynolds stress model gives superior predictions, particularly for separated flow regions. However, this improvement must be weighed against the reduced robustness of the algebraic Reynolds stress model and increased computer run-times.
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