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Structural health monitoring of tendons in a multibody floating offshore wind turbine under varying environmental and operating conditions

Sakaris, C, Yang, Y, Bashir, M, Michailides, C, Wang, J, Sakellariou, JS and Li, C (2021) Structural health monitoring of tendons in a multibody floating offshore wind turbine under varying environmental and operating conditions. Renewable Energy. ISSN 0960-1481

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Abstract

The structural health monitoring of a Floating Offshore Wind Turbine (FOWT) tendons, taking into account the comprehensive damage diagnosis problem of damage detection, damaged tendon identification and damage precise quantification under varying environmental and operating conditions (EOCs), is investigated for the first time. The study examines a new concept of a 10 MW multibody FOWT whose tower is supported by a platform consisting of two rigid-body tanks connected by 12 tendons. Normal and the most severe EOCs from a site located in the northern coast of Scotland, are selected for the simulation of the FOWT structure under constant current but varying wind and wave conditions. Dynamic responses of the platform under different damage states are obtained based on the simulated FOWT. The damage scenarios are modelled via stiffness reduction (%) at the tendon's connection point to the platform's upper tank. Damage diagnosis is achieved via an advanced method, the Functional Model Based Method, that is formulated to operate using a single response signal and stochastic Functional Models representing the structural dynamics under the effects of varying EOCs and any magnitude of the considered damages. Due to the robustness and high number of the existing tendons, the effects of considered damages on the FOWT dynamics are minor and overlapped by the effects of the varying EOCs, indicating a highly challenging damage diagnosis problem. Very good damage detection results are obtained with the damage detection almost faultless and with no false alarms. Accurate tendon identification is achieved for the 95% of the considered test cases, while the mean error in damage quantification is approximately equal to 4% using measurements from just a sin

Item Type: Article
Uncontrolled Keywords: 0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering, 0915 Interdisciplinary Engineering
Subjects: T Technology > TC Hydraulic engineering. Ocean engineering
T Technology > TJ Mechanical engineering and machinery
Divisions: Engineering
Publisher: Elsevier BV
Date Deposited: 06 Aug 2021 08:11
Last Modified: 04 Sep 2021 05:10
DOI or Identification number: 10.1016/j.renene.2021.08.001
URI: https://researchonline.ljmu.ac.uk/id/eprint/15351

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