Imprecise model of thunderstorm wind speed and uncertainty propagation on the maximum dynamic response

• An imprecise evolutionary PSD function of thunderstorm wind speed is defined • Thunderstorm parameters are modeled as interval variables based on full-scale records • A closed-form expression of the Thunderstorm Gust Response Factor is used • Uncertainties affecting both structural and loading parameters are considered • Bounds of the maximum dynamic response for slender structures are derived The wind velocity field associated with thunderstorm downbursts can be modelled as a uniformly modulated nonstationary random process, characterized by an Evolutionary Power Spectral Density function. The parameters characterizing the evolutionary model vary significantly from one thunderstorm to another. Due to the limited data availability, the interval model appears to be a suitable approach to represent the uncertainty of such parameters. In this paper, by leveraging available thunderstorm data and a literature-based model for the vertical profile of mean velocity, appropriate bounds for the key loading parameters are established, and an interval model for the thunderstorm wind speed is introduced. Employing a closed-form solution for the gust response factor and based on the introduced interval model of the thunderstorm wind speed, this study investigates the propagation of uncertainties on the thunderstorm gust response factor and the maximum dynamic response for slender vertical structures using the Improved Interval Analysis. Results indicate that, for the structural cases analyzed, uncertainties in thunderstorm parameters exert a more significant influence on the thunderstorm gust response factor and maximum response than those in the structural parameters.

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Publication Details

Journal
Reliability Engineering & System Safety
Published
2025-10-28
DOI
https://doi.org/10.1016/j.ress.2025.111856
Citations
1
Primary Topic
Lightning and Electromagnetic Phenomena
Type
article
Field-Weighted Citation Impact
1.15
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article

Imprecise model of thunderstorm wind speed and uncertainty propagation on the maximum dynamic response

Alba Sofi, Luca Roncallo, Giuseppe Muscolino, Federica Tubino
1 citations
Reliability Engineering & System Safety
Lightning and Electromagnetic Phenomena
1.15
article

Imprecise model of thunderstorm wind speed and uncertainty propagation on the maximum dynamic response

Alba Sofi, Luca Roncallo, Giuseppe Muscolino, Federica Tubino
article en
1 citations

Abstract

• An imprecise evolutionary PSD function of thunderstorm wind speed is defined • Thunderstorm parameters are modeled as interval variables based on full-scale records • A closed-form expression of the Thunderstorm Gust Response Factor is used • Uncertainties affecting both structural and loading parameters are considered • Bounds of the maximum dynamic response for slender structures are derived The wind velocity field associated with thunderstorm downbursts can be modelled as a uniformly modulated nonstationary random process, characterized by an Evolutionary Power Spectral Density function. The parameters characterizing the evolutionary model vary significantly from one thunderstorm to another. Due to the limited data availability, the interval model appears to be a suitable approach to represent the uncertainty of such parameters. In this paper, by leveraging available thunderstorm data and a literature-based model for the vertical profile of mean velocity, appropriate bounds for the key loading parameters are established, and an interval model for the thunderstorm wind speed is introduced. Employing a closed-form solution for the gust response factor and based on the introduced interval model of the thunderstorm wind speed, this study investigates the propagation of uncertainties on the thunderstorm gust response factor and the maximum dynamic response for slender vertical structures using the Improved Interval Analysis. Results indicate that, for the structural cases analyzed, uncertainties in thunderstorm parameters exert a more significant influence on the thunderstorm gust response factor and maximum response than those in the structural parameters.

Reliability Engineering & System SafetyVol. 267
University of Messina (IT), University of Reggio Calabria (IT), University of Genoa (IT)
Openalex Percentile: Top 15%
Lightning and Electromagnetic Phenomena
1.15
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