JOURNAL ARTICLE

Impact Risk Assessment of Gravity-Based Foundation of Offshore Wind Turbine Under Tsunamis.

  • Published In: Journal of Earthquake & Tsunami, 2025, v. 19, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Zhang, Longfei; Ji, Baifeng; Liu, Haosen; Wang, Jinwen; Xu, Dongsheng; Xu, Haiwei 3 of 3

Abstract

As an important renewable engineering structure, offshore wind turbine foundation is threatened by tsunami bore. A three-dimensional numerical model of dam-break wave tsunami is established and validated based on computational fluid dynamics to study the impacting effects of gravity-based foundation (GBF) of offshore wind turbines under tsunamis. The impacting process of the small, middle, and large tsunami on the GBF is numerically simulated, and the load effects characteristics of the GBF of the wind turbine at different stages of the tsunami impact process are analyzed. The research results show that the GBF is subjected to two peak impact forces under tsunami-impacting action. The tsunami bore has a frontal impact on the GBF, and the force peak of the flow direction is the largest, which has the greatest impact on the foundation of the wind turbine. Specifically, the middle tsunami exerts a maximum frontal impact force of 16.8 N, with a peak dynamic pressure of 678.2 Pa, and a maximum base moment of 1.24 N ⋅ m. Besides, the variation on the base moment in the incident flow direction of the incoming is larger than that in the transverse direction. The research provides valuable insights into the tsunami-resistant GBF, offering recommendations and guidelines for ensuring the long-term stability of offshore wind turbines in tsunami-prone regions. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Earthquake & Tsunami. 2025/04, Vol. 19, Issue 2, p1
  • Document Type:Article
  • Subject Area:Oceanography
  • Publication Date:2025
  • ISSN:1793-4311
  • DOI:10.1142/S1793431124500301
  • Accession Number:184275114
  • Copyright Statement:Copyright of Journal of Earthquake & Tsunami is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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