Enhancing the Spalart–Allmaras Model for Transonic Airfoils Using Field Inversion/Machine Learning
A combined field inversion and machine learning framework to enhance the Spalart–Allmaras turbulence model is employed, demonstrating a substantial improvement in pressure coefficient predictions for both in-sample and out-of-sample cases, without degrading the friction coefficient of a zero-pressure-gradient flat-plat...