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A straightforward method for estimating evolutionary power spectral density of non-stationary typhoon wind speed

Xingliang Ma (Changzhou Institute of Technology, Changzhou, China)
Zhen Liu (Shandong Technology and Business University, Yantai, China)

Engineering Computations

ISSN: 0264-4401

Article publication date: 14 November 2024

2

Abstract

Purpose

A precise estimation of the evolutionary power spectral density (EPSD) of typhoon wind speed is a difficult and significant undertaking in the analysis of turbulence effects on large-expansive structures. A majority of the prevailing EPSD estimation techniques rely on complex signal processing methodologies, such as wavelet decomposition, Hilbert–Huang transformation and time-varying autoregressive moving average (ARMA) model. However, these approaches often pose challenges in terms of comprehensibility and practical implementation for engineers. In light of this issue, the present study introduces a straightforward and effective EPSD estimation method tailored specifically for typhoon wind speed, aiming to facilitate its understanding and application in engineering contexts.

Design/methodology/approach

Firstly, the mathematical model of a uniformly modulated non-stationary process is employed to represent the typhoon wind speed. Secondly, the reverse arrangement test serves as an auxiliary tool in conjunction with wavelet transform or empirical mode decomposition, aiding in the determination of the optimal slowly varying mean wind speed. Thirdly, Kernel regression technique is utilized to discern the time-dependent standard deviation of wind speed fluctuations. Finally, the power spectral density (PSD) of wind speed residuals is computed to facilitate the estimation of the EPSD.

Findings

Firstly, the reverse arrangement test-assisted approach enables the determination of an optimal time-dependent mean from the candidate results obtained through discrete wavelet transform (DWT) and empirical mode decomposition (EMD). Secondly, the application of the Kernel regression technique facilitates accurate identification of the time-dependent variance from the fluctuating wind speed data. Thirdly, due to the influence of the extreme weather, the Gaussianity of the reduced turbulent fluctuations in typhoon wind is easily disturbed, resulting in the obvious non-Gaussian features.

Originality/value

This paper employs the mathematical model of uniformly modulated non-stationary process to characterize typhoon wind speeds and then proposes a straightforward and efficient method for estimating the EPSD of typhoon wind. The accuracy and efficacy of the presented estimation method are verified using the field-measured wind speed data from Typhoon Rammasun. The proposed EPSD estimation method for typhoon wind exhibits suitability for engineering applications owing to its simplicity and computational efficiency.

Keywords

Acknowledgements

The research is funded by the National Science Foundation of China (Nos: 52208461 and 52478131), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (Nos: 23KJA56000 and 23KJA560002), and Changzhou Sci&Tech Program (No: CJ20240072), which are sincerely acknowledged.

Citation

Ma, X. and Liu, Z. (2024), "A straightforward method for estimating evolutionary power spectral density of non-stationary typhoon wind speed", Engineering Computations, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EC-03-2024-0178

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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