Shankar Kaira

Investigation of Neural Network-Based Calibration of the Geko Turbulence Model for High-Lift Airfoil Flow Prediction

Accurate prediction of aerodynamic forces for high-lift configurations remains challenging in CFD due to turbulence modeling limitations. This study applies neural network-based calibration to the Generalized κ–ω (GEKO) model to improve flow prediction over a multi-element airfoil. Baseline SST-κ–ω and GEKO models matc...