Flutter Prediction Using Wavelet Transform

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[Abstract] The present paper proposes a new methodology to predict flutter. The method is based on the wavelet transform, which transforms time signals into the localized time-frequency domain. A flutter test was conducted at a low speed wind tunnel to obtain experimental data in sub-critical region. The prediction technique was applied to the response signals of a low-aspect-ratio wing model subjected to the windtunnel turbulence. It was found that the linear extrapolation of a new index defined in the transformed domain could well predict the flutter speed. The other prediction methods were also examined with the same signals to compare their predictability.

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