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<p>Offshore wind turbines (OWTs) are subject to waves, currents, seabed shifts, and corrosion in harsh marine environment, posing significant challenges to structural integrity and durability. A prevalent issue of OWTs is the scour of foundations and cables, which can cause structural damage, interrupting the operation of OWTs and even leading to catastrophic failure. Timely detection and assessment of scour are crucial for maintaining the structural integrity and managing the operation of OWTs. This paper reviews the main methods utilized to assess scour for OWT. Three main types of scour assessment methods are reviewed, which are direct methods, vibration-based methods, and unmanned vehicle-based methods. For each type of methods, the reviewed contents mainly include the assessment principles, laboratory tests, and field applications, as well as data processing and interpretation. The limitations of existing methods and the new opportunities are discussed. This research promotes improvement of the monitoring and maintenance of OWTs.</p>

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Scour assessment for offshore wind turbines: a state-of-the-art review

  • 期刊论文

  • 发表日期：

    2025年4月11日

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  • Xin Feng,
  • Jintong Zheng,
  • Yiming Liu,
  • Yi Bao

摘要

Offshore wind turbines (OWTs) are subject to waves, currents, seabed shifts, and corrosion in harsh marine environment, posing significant challenges to structural integrity and durability. A prevalent issue of OWTs is the scour of foundations and cables, which can cause structural damage, interrupting the operation of OWTs and even leading to catastrophic failure. Timely detection and assessment of scour are crucial for maintaining the structural integrity and managing the operation of OWTs. This paper reviews the main methods utilized to assess scour for OWT. Three main types of scour assessment methods are reviewed, which are direct methods, vibration-based methods, and unmanned vehicle-based methods. For each type of methods, the reviewed contents mainly include the assessment principles, laboratory tests, and field applications, as well as data processing and interpretation. The limitations of existing methods and the new opportunities are discussed. This research promotes improvement of the monitoring and maintenance of OWTs.