Data-driven Modelling and Linear Mean-Flow Analyses of Airfoil Instabilities in Transitional Flow Regimes (Modélisation Basée sur les Données et Approches Linéarisées pour la Prédiction des Instabilités d’un Profil d’Aile dans des Régimes d’Écoulements Transitionnels)

This research investigates how air flows around wings when it shifts from smooth (laminar) to irregular patterns (turbulent). These complex motions can cause dangerous vibrations and loud noise in aircraft and wind turbines. While engineers increasingly rely on computer simulations to design safe and efficient systems, available models describing complex air motion are often either too slow or lack accuracy. This work explores optimisation techniques to improve the modelling these motions at a low computational cost. The findings offer a step toward creating improved tools that help engineers address noise and safety risks more effectively during design.