The full order analysis of aeroelasticity system, which solves the Euler or Navier Stokes equations in a time domain, is usually expensive in a sense of time consumed. To improve this situation, the Reduced Order Modeling (ROM) method has been developed. If there is a pressure difference between upper and lower surfaces of a wing, the aerodynamic forces loaded on the wing cause static deformations. The ROM, therefore, should have a capability to simulate wing vibrations under the static deformation effect. To include this effect, sequential processing of ROMs for two times is proposed in this study. The 1st step ROM predicts the flutter condition for the rigid wing. The 2nd step ROM predicts the flutter condition for the statically deformed wing under the aerodynamic load caused by the 1st step ROM flutter dynamic pressure. The accuracy of this method is verified by comparing the results with those predicted only by the full order analysis. In this study, the identification of aerodynamic forces is conducted by the Eigensystem Realization Algorithm (ERA). In the ERA, reduction of singular value matrix influences the accuracy of identification. Two methods are introduced to reduce the singular value matrix, and the flutter conditions acquired by these two methods are compared each other.


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    Title :

    Reduced order modeling of aeroelasticity analysis for a wing under static deformation effect


    Contributors:

    Conference:

    ICNPAA 2016 WORLD CONGRESS: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences ; 2016 ; La Rochelle, France


    Published in:

    Publication date :

    2017-01-27


    Size :

    8 pages





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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