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Abstract
Abstract Structural failures of offshore wind substructures might be less likely than failures of other equipments of the offshore wind turbines, but they pose a high risk due to the possibility of catastrophic consequences. Significant costs are linked to offshore operations, like inspections and maintenance activities, thus remote monitoring shows promise for a cost-efficient structural integrity management. This work aims to investigate the feasibility of a two-level detection, in terms of anomaly identification and location, in the jacket support structure of an offshore wind turbine. A monitoring scheme is suggested by basing the detection on a database of simulated modal properties of the structure for different failure scenarios. The detection model identifies the correct anomaly based on three types of modal indicators, namely, natural frequency, the modal assurance criterion between mode shapes, and the modal flexibility variation. The supervised Fisher's linear discriminant analysis is applied to transform the modal indicators to maximize the separability of several scenarios. A fuzzy clustering algorithm is then trained to predict the membership of new data to each of the scenarios in the database. In a case study, extreme scour phenomena and jacket members' integrity loss are simulated, together with variations of the structural dynamics for environmental and operating conditions. Cross-validation is used to select the best hyperparameters, and the effectiveness of the clustering is validated with slight variations of the environmental conditions. The results prove that it is feasible to detect and locate the simulated scenarios via the global monitoring of an offshore wind jacket structure.
Original language | English |
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Article number | 021103 |
Number of pages | 12 |
Journal | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B - Mechanical Engineering |
Volume | 8 |
Issue number | 2 |
Early online date | 26 Jan 2022 |
DOIs | |
Publication status | Published - 1 Jun 2022 |
Keywords
- mechanical engineering
- safety research
- safety, risk, reliability and quality
- offshore wind turbines
- ocean engineering
- inspection
- maintenance
- damage
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Dive into the research topics of 'A damage detection and location scheme for offshore wind turbine jacket structures based on global modal properties'. Together they form a unique fingerprint.Projects
- 1 Finished
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ROMEO: Reliable OM decision tools and strategies for high LCoE reduction on Offshore Wind (H2020 SC3 LCE 13)
Kolios, A. (Principal Investigator) & Brennan, F. (Co-investigator)
European Commission - Horizon Europe + H2020
1/07/18 → 31/05/22
Project: Research