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Lookup NU author(s): Professor Zhiqiang HuORCiD
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© 2026 Elsevier Ltd.In the complex and harsh marine environment of the South China Sea, typhoons may trigger technological accidents (Natech), posing significant challenges to coastal and offshore infrastructure, and increasing the risk of secondary disasters. The uniqueness and low probability of extreme disaster events present challenges for typhoon disaster prevention and mitigation. This study proposes a disaster-inducing factors extraction model (DIFEM) based on feature extraction to deconstruct the mechanism of typhoon-structure interaction. Additionally, a hierarchical analyst domino evaluation system (HADES) based on physical theories and industrial standards is adapted and integrated, allowing systematic hazard classification, hierarchical structuring, probabilistic assessment, and consequence evaluation. These modules form the unified disaster-inducing and risk evaluation (DIRE) framework, which offers industrial applicability and computational efficiency. By analyzing five typhoon-induced disaster events in the South China Sea, this study identifies both common disaster-inducing factors contributing to wind turbine damage and structure-specific disaster-inducing factors. In addition, a quantitative assessment of secondary disaster risks caused by typhoons is performed. The findings of this study provide reliable data and decision-making support for disaster prevention and mitigation on wind farms.
Author(s): Li Y, Li Y, Hu Z-Z, Zhang J-M, Hu Z
Publication type: Article
Publication status: Published
Journal: Reliability Engineering and System Safety
Year: 2026
Volume: 272
Issue: 3
Print publication date: 01/08/2026
Online publication date: 26/03/2026
Acceptance date: 23/03/2026
ISSN (print): 0951-8320
ISSN (electronic): 1879-0836
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.ress.2026.112638
DOI: 10.1016/j.ress.2026.112638
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