2020/03/31 by Karthik Menon, Rajat Mittal · 27 citations
Engineering · Physics and Astronomy · #Aerodynamics #Aeroelasticity #Aerospace engineering #Airfoil #Artificial intelligence #Computer science #Control (management) #Control theory (sociology) #Energy (signal processing) #Engineering #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis #Manifold (fluid mechanics) #Mechanical engineering #Model Reduction and Neural Networks #Nonlinear system #Physics #Pitch control #Structural engineering #physics.flu-dyn
paper · pdf · doi:10.1016/j.jfluidstructs.2020.103078
published in Journal of Fluids and Structures 97, 103078 (Elsevier BV)
openalex publication_date 2020/06/23 · openalex created_date 2020/07/02 · arxiv created 2020/10/26 · arxiv updated 2020/10/27 · openalex updated_date 2026/08/05
A method to predict the aeroelastic pitch response of an airfoil to gusts is presented. The prediction is based on energy maps generated by high-fidelity fluid dynamic simulations of the airfoil with prescribed pitch oscillations. The energy maps quantify the exchange of energy between the pitching airfoil and the flow, and serve as manifolds over which the dynamical states of aeroelastic airfoil system grow, decay and attain stationary states. This method allows us to study the full nonlinear response of the system to large gusts, and predict the growth and saturation of aeroelastic pitch instabilities. We also show that the manifold topology in these maps can be used to make informed modifications to the system parameters in order to control the response to gusts.