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|Title:||Reduced-order based flutter analysis for complex aeroelastic systems||Authors:||Lai, K.L.
|Issue Date:||2008||Citation:||Lai, K.L.,Lum, K.-Y. (2008). Reduced-order based flutter analysis for complex aeroelastic systems. Collection of Technical Papers - AIAA Applied Aerodynamics Conference. ScholarBank@NUS Repository.||Abstract:||The paper presents a numerical approach, based on model reduction techniques and stability analysis algorithms, for analyzing aeroelastic response of three dimensional configurations. A reduced order model (ROM) of the unsteady flows is constructed and coupled with the structure model, which is in the form of modal model, to form a state-space model of the aeroelastic system. The resulting model is analyzed for stability to identify the critical flutter conditions. For the generation of ROMs, full-order computations based on the Euler equations were performed to obtain impulse response of the decoupled system. The use of Euler equations allows studies of transonic flow with strong shock waves where nonlinear phenomena, such as limit cycle flutter, can occur. Consequently, the present ROM-based approach accurately represents the dynamics of the system, and therefore can potentially compute the flutter margin to a high level of accuracy. To this regard, the present method is inherently more accurate than the traditional p-k method which predicts flutter margins entirely from a theoretical model that might not accurately reflect the true aerodynamics of the system. We present numerical results of the AGARD wing 445.6 test cases to assess the accuracy and reliability of the method. Reduced-order models for a complex fighter-type aircraft F-5 were created and verified with full-order flutter computations to demonstrate the modeling capability of the present model reduction techniques.||Source Title:||Collection of Technical Papers - AIAA Applied Aerodynamics Conference||URI:||http://scholarbank.nus.edu.sg/handle/10635/111632||ISSN:||10485953|
|Appears in Collections:||Staff Publications|
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