Flow and noise predictions for a tandem cylinder configuration using novel hybrid RANS/LES approaches

Abstract

The performance of several novel hybrid RANS/LES methodologies for accurate flow and noise predictions of the NASA Tandem Cylinder Experiment are investigated. Simulations are performed using three different hybrid RANS/LES methodologies which employ different techniques to transform the baseline RANS model into a turbulence resolving subgrid scale model. The approaches investigated are the Scale-Adaptive-Simulation which computes the subgrid dissipation-rate from a transport equation that is sensitive to the v. Karman length scale, the IDDES approach and a modified Flow-Simulation-Methodology (FSM) which both rely on replacing the modeled turbulent length scale with a measure of the local g..