Transient Growth and Decay of Aeroelastic Stall Flutter

2022 ◽  
Author(s):  
Hunter C. Ringenberg ◽  
John A. Farnsworth
2021 ◽  
Vol 103 (3) ◽  
Author(s):  
Kevin Ha ◽  
Jean-Marc Chomaz ◽  
Sabine Ortiz
Keyword(s):  

Author(s):  
Hongsik Im ◽  
Xiangying Chen ◽  
Gecheng Zha

Detached eddy simulation of an aeroelastic self-excited instability, flutter in NASA Rotor 67 is conducted using a fully coupled fluid/structre interaction. Time accurate compressible 3D Navier-Stokes equations are solved with a system of 5 decoupled modal equations in a fully coupled manner. The 5th order WENO scheme for the inviscid flux and the 4th order central differencing for the viscous flux are used to accurately capture interactions between the flow and vibrating blades with the DES (detached eddy simulation) of turbulence. A moving mesh concept that can improve mesh quality over the rotor tip clearance was implemented. Flutter simulations were first conducted from choke to stall using 4 blade passages. Stall flutter initiated at rotating stall onset, grows dramatically with resonance. The frequency analysis shows that resonance occurs at the first mode of the rotor blade. Before stall, the predicted responses of rotor blades decayed with time, resulting in no flutter. Full annulus simulation at peak point verifies that one can use the multi-passage approach with periodic boundary for the flutter prediction.


AIAA Journal ◽  
1992 ◽  
Vol 30 (1) ◽  
pp. 153-162 ◽  
Author(s):  
Peter Dunn ◽  
John Dugundji
Keyword(s):  

Author(s):  
Harshini Devathi ◽  
Sunetra Sarkar

A novel uncertainty quantification routine in the genre of adaptive sparse grid stochastic collocation (SC) has been proposed in this study to investigate the propagation of parametric uncertainties in a stall flutter aeroelastic system. In a hypercube stochastic domain, presence of strong nonlinearities can give way to steep solution gradients that can adversely affect the convergence of nonadaptive sparse grid collocation schemes. A new adaptive scheme is proposed here that allows for accelerated convergence by clustering more discretization points in regimes characterized by steep fronts, using hat-like basis functions with nonequidistant nodes. The proposed technique has been applied on a nonlinear stall flutter aeroelastic system to quantify the propagation of multiparametric uncertainty from both structural and aerodynamic parameters. Their relative importance on the stochastic response is presented through a sensitivity analysis.


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