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https://doi.org/10.5194/ms-2026-169
https://doi.org/10.5194/ms-2026-169
29 Sep 2026
 | 29 Sep 2026
Status: this preprint is currently under review for the journal MS.

Review article: A review of dynamic response analysis methods for transmission tower-line systems under ice-wind hazards

Bingzhao Qiu, Yiqi Liu, and Mingfei Ban

Abstract. Ice-wind hazards pose serious threats to transmission tower-line systems (TTLS), and dynamic response analysis is indispensable for elucidating the failure mechanisms of TTLS and guiding effective disaster mitigation strategies. This review elaborates on a series of dynamic response analysis methods for TTLS, covering analytical and mechanics-based methods, numerical simulation methods, stochastic and statistical methods, and methods based on artificial intelligence (AI) that show increasing potential to enhance predictive performance and computational efficiency. Detailed analyses are conducted on the fundamental assumptions, solution procedures, and uncertainty modeling of the various methods, as well as their respective methodological limitations. Finally, this review identifies key challenges associated with modeling, computation, and uncertainty quantification. Future research directions are proposed to advance intelligent and resilience-oriented strategies for the sustainable development of TTLS subjected to ice-wind loads.

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Bingzhao Qiu, Yiqi Liu, and Mingfei Ban

Status: open (until 05 Nov 2026)

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Bingzhao Qiu, Yiqi Liu, and Mingfei Ban
Bingzhao Qiu, Yiqi Liu, and Mingfei Ban
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Short summary
Ice and strong winds can seriously damage transmission lines and disrupt power supply. This review compares major methods used to understand and predict these effects, from physical and numerical models to statistical and data-driven approaches. It shows that no single method is sufficient and highlights the value of combining complementary methods to improve risk assessment, resilience, and future decision-making.
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