TY - JOUR
T1 - Condition-based structural health monitoring of offshore wind jacket structures
T2 - Opportunities, challenges, and perspectives
AU - Leng, Jiaxuan
AU - Gardoni, Paolo
AU - Wang, Mengmeng
AU - Li, Zhixiong
AU - Królczyk, Grzegorz
AU - Feng, Shizhe
AU - Incecik, Atilla
AU - Li, Weihua
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research is supported by the NSFC (51979261) and Natural Science Foundation of Hebei Province of China (A2020202017), Youth Foundation of Hebei Education Department (QN2020211). The research leading to these results has received funding from the Norwegian Financial Mechanism 2014-2021 under Project Contract No 2020/37/K/ST8/02748.
Publisher Copyright:
© The Author(s) 2023.
PY - 2023/9
Y1 - 2023/9
N2 - Structural health monitoring (SHM) has been recognized as a useful tool for safety management and risk reduction of offshore wind farms. In complex offshore environment, jacket structures of offshore wind turbines are prone to damages due to corrosion and fatigue. Effective SHM on jacket structures can substantially reduce their operation risk and costs. This work reviews the latest progress on the SHM of offshore wind jacket structures. The achievements in the structural damage identification, location, quantification, and remaining useful life (RUL) estimation are respectively introduced in detail, and existing challenges are discussed. Possible solutions to the challenges using the Digital Twin (DT) technology are put forward. The DT is able to mirror a real jacket structure into a virtual model, and Bayesian updating can refresh the virtual model parameters in real-time to keep consistency between virtual model and physical structure; then, just-in-time SHM can be carried out for jacket structures by performing damage detection, location, quantification, and RUL estimation using the virtual model. As a result, the DT may provide engineers and researchers a practicable tool for safety monitoring and risk reduction of fixed foundation offshore wind structures.
AB - Structural health monitoring (SHM) has been recognized as a useful tool for safety management and risk reduction of offshore wind farms. In complex offshore environment, jacket structures of offshore wind turbines are prone to damages due to corrosion and fatigue. Effective SHM on jacket structures can substantially reduce their operation risk and costs. This work reviews the latest progress on the SHM of offshore wind jacket structures. The achievements in the structural damage identification, location, quantification, and remaining useful life (RUL) estimation are respectively introduced in detail, and existing challenges are discussed. Possible solutions to the challenges using the Digital Twin (DT) technology are put forward. The DT is able to mirror a real jacket structure into a virtual model, and Bayesian updating can refresh the virtual model parameters in real-time to keep consistency between virtual model and physical structure; then, just-in-time SHM can be carried out for jacket structures by performing damage detection, location, quantification, and RUL estimation using the virtual model. As a result, the DT may provide engineers and researchers a practicable tool for safety monitoring and risk reduction of fixed foundation offshore wind structures.
KW - Bayesian theory
KW - Digital Twin
KW - Offshore jacket structures
KW - remaining useful life estimation
KW - structural health monitoring
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U2 - 10.1177/14759217221148688
DO - 10.1177/14759217221148688
M3 - Article
AN - SCOPUS:85147528298
SN - 1475-9217
VL - 22
SP - 3558
EP - 3575
JO - Structural Health Monitoring
JF - Structural Health Monitoring
IS - 5
ER -