Mechanism of transonic aeroelastic instabilities via synchronization of coupled oscillatorsifasd2024 Tracking Number 164 Presentation: Session: Transonic aeroelasticity Room: Room 1.4/1.5 Session start: 16:00 Tue 18 Jun 2024 Srikanth Vasudevan S.Vasudevan@tudelft.nl Affifliation: Delft University of Technology Xuerui Wang X.Wang-6@tudelft.nl Affifliation: Delft University of Technology Roeland De Breuker R.DeBreuker@tudelft.nl Affifliation: Delft University of Technology Topics: - Steady/Unsteady Aerodynamics (High and low fidelity (un)coupled analysis methods:), - Dynamic Loads (High and low fidelity (un)coupled analysis methods:), - Reduced Order Modeling (High and low fidelity (un)coupled analysis methods:), - Aeroservoelasticity (Vehicle analysis/design using model-based and data driven models), - Active Control and Adaptive Structures (Vehicle analysis/design using model-based and data driven models) Abstract: This paper contributes towards the development of a reduced-order modelling methodology for nonlinear, unsteady aerodynamic loads for the active control of transonic aeroelastic flutter. To this end, a 1-DOF torsional NACA0012 airfoil is chosen as the test configuration. The aim is to develop the reduced-order model in nonlinear state-space form to be used in active control scenarios. Hence, a nonlinear coupled differential equation that captures the shock dynamics. The underlying hypothesis of this work is that, once these aerodynamic effects are included in the low-order model, the nonlinear trend in the flutter stability boundary, specifically in the transonic regime, will be predicted purely based on first principles, without the need for numerical or experimental corrections. In this work, we observe that the aeroelastic system could become prematurely unstable as soon as the aerodynamic flow field undergoes a Hopf bifurcation. For low amplitude airfoil pitching below a certain threshold, the aerostructural system is seen to exhibit a coupled oscillator behaviour that has an exact linear analytical formulation. The analytical formulation thus produces an accurate prediction whilst being orders of magnitude faster than the numerical simulation. |