Probabilistic Gust Factor Model of Typhoon Winds
Publication: Journal of Structural Engineering
Volume 150, Issue 1
Abstract
The gust factor commonly is used in wind engineering community to convert mean wind speeds into gusty winds, which exhibit significant variability in real observations of typhoon winds. This study proposes a probabilistic gust factor model that accounts for uncertainties of wind speed statistics. The statistical characteristics of wind speed from nine typhoons, including the mean, standard deviation, skewness, kurtosis, power spectral density (PSD) parameter, peak factor, and gust factor, were examined. The effects of nonstationary characteristics in terms of time-varying mean wind speed and non-Gaussian attributes of fluctuating winds on the gust factor are discussed. These wind speed statistics were incorporated into a non-Gaussian moment-based translation model to perform the Monte Carlo simulation of peak factor and gust factor. The simulation results for different gust durations were juxtaposed with observations to substantiate the accuracy of the probabilistic model. Subsequently, a standardization framework for estimating site-specific probabilistic gust factor curves was developed. This approach was applied to determine the gust typhoon wind speed hazard curve at a real bridge site with flat open terrain. The present model enables the consideration of gust factor dispersion to achieve a probabilistic gust wind hazard curve and facilitate the development of performance-based wind engineering.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors gratefully acknowledge the support of the National Natural Science Foundation of China (52108469, 51978527, 52078383, and 52278520), the Chenguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission (22CGA21), and the Fundamental Research Funds for the Central Universities (22120220577).
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Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 150 • Issue 1 • January 2024
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Aug 22, 2022
Accepted: Jul 11, 2023
Published online: Nov 6, 2023
Published in print: Jan 1, 2024
Discussion open until: Apr 6, 2024
ASCE Technical Topics:
- Analysis (by type)
- Curvature
- Disaster risk management
- Disasters and hazards
- Engineering fundamentals
- Gaussian process
- Geometry
- Hurricanes, typhoons, and cyclones
- Mathematics
- Natural disasters
- Power spectral density
- Probability
- Statistical analysis (by type)
- Stochastic processes
- Structural engineering
- Wind engineering
- Wind gusts
- Wind speed
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