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Wind and Structures Volume 38, Number 4, April 2024 (Special Issue) pages 277-293 DOI: https://doi.org/10.12989/was.2024.38.4.277 |
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Characterizing and modelling nonstationary tri-directional thunderstorm wind time histories |
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Y.X. Liu and H.P. Hong
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| Abstract | ||
| The recorded thunderstorm winds at a point contain tri-directional components. The probabilistic characteristics of such recorded winds in terms of instantaneous mean wind speed and direction, and the probability distribution and the timefrequency dependent crossed and non-crossed power spectral density functions for the high-frequency fluctuating wind components are unclear. In the present study, we analyze the recorded tri-directional thunderstorm wind components by separating the recorded winds in terms of low-frequency time-varying mean wind speed and high-frequency fluctuating wind components in the alongwind direction and two orthogonal crosswind directions. We determine the time-varying mean wind speed and direction defined by azimuth and elevation angles, and analyze the spectra of high-frequency wind components in three orthogonal directions using continuous wavelet transforms. Additionally, we evaluate the coherence between each pair of fluctuating winds. Based on the analysis results, we develop empirical spectral models and lagged coherence models for the tridirectional fluctuating wind components, and we indicate that the fluctuating wind components can be treated as Gaussian. We show how they can be used to generate time histories of the tri-directional thunderstorm winds. | ||
| Key Words | ||
| continuous wavelet transform; simulation; thunderstorm winds; time-frequency analysis; time-frequency dependent power spectral density | ||
| Address | ||
| Y.X. Liu:Department of Civil and Environmental Engineering, University of Western Ontario, 1151 Richmond Street, London, N6A 5B9, Canada H.P. Hong:Department of Civil and Environmental Engineering, University of Western Ontario, 1151 Richmond Street, London, N6A 5B9, Canada | ||