3 papers
physics.flu-dyn2026
Neural Differential Equations for Oscillatory Flows in Aeroelasticity Applied to Transonic Buffet
Michael Candon, Pier Marzocca, Earl Dowell
Self-excited aerodynamic flows arise across a broad range of systems and can drive nonlinear fluid-structure interactions and aeroelastic instabilities that are challenging and com…
physics.flu-dyn2025
Aeroelastic Reduced-Order Model Differential Equations in Transonic Buffeting Flow
Michael Candon, Pier Marzocca, Earl H. Dowell
Numerical simulation of the transonic shock buffet phenomenon remains a formidable challenge due to its inherent nonlinear and unsteady characteristics. These difficulties are furt…
physics.flu-dyn2024
Efficient Transonic Aeroelastic Model Reduction Using Optimized Sparse Multi-Input Polynomial Functionals
Michael Candon, Maciej Balajewicz, Arturo Delgado-Gutierrez +2
Nonlinear aeroelastic reduced-order models (ROMs) based on machine learning or artificial intelligence algorithms can be complex and computationally demanding to train, meaning tha…