Data-Driven RANS Modelling of Junction Flows: An Evaluation of SpaRTA on the Wing-Body Geometry

Classical RANS (Reynolds-Averaged Navier-Stokes) turbulence models have limited accuracy in the prediction of the flow over the wing-body geometry. Therefore, this work focuses on improving the prediction accuracy of the classical k-ω SST turbulence model for the junction flow by means of the data-driven method SpaRTA. In the SpaRTA methodology...

Wall-Resolved Large Eddy Simulation of a Wing-Body Junction: High-Fidelity Data Generation for Data-Driven Turbulence Modelling

A wall-resolved Large Eddy Simulation (LES) of a wing-body junction is performed. The aim is to generate high-fidelity junction flow data to be used in a data-driven turbulence modelling approach, specifically to improve the accuracy of RANS-simulations in junction flows. The simulation is performed on a 61.5 million C-grid body fitted mesh in...