Aeroelastic Mode

Aeroelastic modes describe the coupled interactions between aerodynamic forces and structural vibrations in aircraft and other flexible structures, with a primary objective being to predict and control potentially destructive oscillations like flutter. Current research emphasizes developing efficient reduced-order models, often employing machine learning techniques like sparse polynomial functionals and Dynamic Mode Decomposition, to analyze aeroelastic behavior from both simulations and flight test data, even with limited sensor information. This work is crucial for improving aircraft design, ensuring flight safety, and optimizing structural performance through techniques like aeroelastic tailoring, ultimately leading to lighter, more efficient aircraft.