Journal
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
Volume 198, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.jweia.2020.104115
Keywords
Typhoon winds; S-transform-based method; Time-varying wind spectrum; Time-varying wind coherence; Typhoon Hato
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Funding
- Hong Kong Polytechnic University through a special grant [PolyU 4-ZVM9]
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Typhoon winds near its external eye wall are strongly non-stationary and disastrous, requiring a deep understanding. This paper first presents an S-transform-based method for obtaining the time-varying power spectra and coherences of a multivariate non-stationary process. The accuracy of the proposed S-transform-based method is examined through a comparison with currently-used two methods. The analytical expressions of time-varying power spectra and coherences of non-stationary typhoon winds are then proposed by introducing time-varying parameters into the stationary Von Karman wind spectra and the stationary Krenk wind coherence functions respectively. Finally, the S-transform-based method is applied to the wind data recorded by the multiple anemometers installed in the Stonecutters Bridge in Hong Kong during Typhoon Hato, and the resulting time-varying wind spectra and coherences are fitted by the analytical expressions of time-varying Von Karman wind spectra and Krenk wind coherence functions respectively. The results show that the typhoon winds recorded during Typhoon Hato are clearly non-stationary and that the time-varying Von Karman wind spectra and Krenk wind coherence functions could well fit the wind data recorded during Typhoon Hato.
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