Calibration of an Extended Eddy Viscosity Turbulence Model Using Bayesian Update

The present work aims at improving the performance of the eddy viscosity-based Menter-Shear Stress Transport turbulence model for complex aircraft flows by adding physical extensions to the ω length-scale equation along with calibration aided by uncertainty quantification methods. Three different extensions based on rotation and curvature correction, wake flow correction, and irrotational strain correction are added to the original model, resulting in a parametric model, which is then calibrated using Bayesian updates. A series of test cases is employed to assess the model performance, whereby delta wings with deflected flaps and vortical flows are the predominant target application.