Modelling of Vortex-Induced Loading on a Single-Blade Installation Setup

Witold Robert Skrzypinski, Mac Gaunaa, Joachim Christian Heinz

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    Vortex-induced integral loading fluctuations on a single suspended blade at various inflow angles were modeled in the presents work by means of stochastic modelling methods. The reference time series were obtained by 3D DES CFD computations carried out on the DTU 10MW reference wind turbine blade. In the reference time series, the flapwise force component, Fx, showed both higher absolute values and variation than the chordwise force component, Fz, for every inflow angle considered. For this reason, the present paper focused on modelling of the Fx and not the Fz whereas Fz would be modelled using exactly the same procedure. The reference time series were significantly different, depending on the inflow angle. This made the modelling of all the time series with a single and relatively simple engineering model challenging. In order to find model parameters, optimizations were carried out, based on the root-mean-square error between the Single-Sided Amplitude Spectra of the reference and modelled time series. In order to model well defined frequency peaks present at certain inflow angles, optimized sine functions were superposed on the stochastically modelled time series. The results showed that the modelling accuracy varied depending on the inflow angle. None the less, the modelled and reference time series showed a satisfactory general agreement in terms of their visual and frequency characteristics. This indicated that the proposed method is suitable to model loading fluctuations on suspended blades.
    Original languageEnglish
    Article number082037
    Book seriesJournal of Physics: Conference Series (Online)
    Issue number8
    Number of pages10
    Publication statusPublished - 2016
    EventThe Science of Making Torque from Wind 2016 - Technische Universität München (TUM), Munich, Germany
    Duration: 5 Oct 20167 Oct 2016
    Conference number: 6


    ConferenceThe Science of Making Torque from Wind 2016
    LocationTechnische Universität München (TUM)
    Internet address


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