5 papers
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…
Reduced-Order Hydrodynamic Modelling of a Sphere Near a Wall Using Sparse Regression and Neural Networks
Zev Hoffman, Sara Vahaji, Arpan Das +4
This work presents an interpretable parametric surrogate model motivated by the need to identify a hydrodynamic model for resolving the trajectory of an object in real-time. The su…
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…
A Numerical Investigation of the Aeroelastic Interaction between Transonic Buffet and Structural Nonlinearity
Michael Candon, Vincenzo Muscarello, Pier Marzocca +1
Transonic shock buffet is a nonlinear, unsteady aerodynamic phenomenon characterized by self-sustained, periodic shock oscillations that can critically affect aircraft structural i…
Parsimonious Dynamic Mode Decomposition: A Robust and Automated Approach for Optimally Sparse Mode Selection in Complex Systems
Arpan Das, Pier Marzocca, Oleg Levinski
This paper introduces the Parsimonious Dynamic Mode Decomposition (parsDMD), a novel algorithm designed to automatically select an optimally sparse subset of dynamic modes for both…