Enhancing the Spalart–Allmaras Model for Transonic Airfoils Using Field Inversion/Machine Learning
Reynolds-averaged Navier–Stokes (RANS) simulations are widely used in industrial design due to their favorable balance between accuracy, computational cost, and turnaround time. However, RANS models often struggle to predict complex flows involving separation or strong adverse pressure gradients. In transonic flows ove...