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- W2315265524 abstract "Random eigenvalue analysis of a Goland wing is carried out considering the only source of uncertainty to be associated with the non-structural masses attached to the wing. Distinction between three dierent characterizations of the eigenvalue statistics and their applicability is also discussed. For the aircraft wing, where the flutter resulting from the natural frequency coalescence is a critical issue, the statistics of the spacing between two consecutive eigenvalues is identified as a useful measure that can be used in the prediction process. Polynomial chaos expansion is used as a tool for representing the random eigenvalues and eigenvectors. Using the chaos expansion, a new method for representing the eigenvector statistics is presented, which is capable of capturing the intermodal statistical interaction. The probabilistic framework used in the present analysis may be helpful for analyzing the uncertainty associated with the store-induced limit-cycle oscillation problem." @default.
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- W2315265524 date "2004-04-19" @default.
- W2315265524 modified "2023-09-25" @default.
- W2315265524 title "Random Eigenvalue Analysis of an Airframe" @default.
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- W2315265524 doi "https://doi.org/10.2514/6.2004-1533" @default.
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