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Τίτλος: Coupled analysis of a 10 MW multi-body floating offshore wind turbine subjected to tendon failures
Συγγραφείς: Yang, Yang 
Bashir, Musa 
Michailides, Constantine 
Mei, Xuan 
Wang, Jin 
Li, Chun 
Major Field of Science: Engineering and Technology
Field Category: Environmental Engineering
Λέξεις-κλειδιά: Floating offshore wind turbine;Dynamic responses;Multi-body platform;Tendon failure;Fully coupled analysis;F2A
Ημερομηνία Έκδοσης: Οκτ-2021
Πηγή: Renewable Energy, 2021, vol. 176, pp. 89-105
Volume: 176
Start page: 89
End page: 105
Περιοδικό: Renewable Energy 
Περίληψη: In this study dynamic responses of a 10 MW offshore wind turbine supported by a multi-body floating platform that consists of a wide cylindrical platform and a cylindrical ballast body suspended by six tendons are analyzed and predicted for different tendon breakage scenarios. A newly-developed and validated fully coupled numerical tool (F2A) based on AQWA and FAST is used to perform aero-hydro-servo-elastic analysis of the floating offshore wind turbine (FOWT). The results indicate that the dynamic behavior of the platform is heavily influenced by the state of tendons health. Roll and yaw motions of the platform under a tendon breakage are found to experience 6 times magnitude amplification of the typical responses, depending on the specific environmental conditions considered. Moreover, the peak tension in the tendon adjacent to the broken tendon experienced an increase of 165% in magnitude. The collective-pitch mode of the platform and wave excitation that are the main contributors to the surge and pitch fluctuations are slightly affected by tendon breakages. The influence of tendon breakages is found to be only significant on the local-pitch and coupled-pitch modes of the platform. In addition, multifractal spectra of the platform accelerations under different tendon failure scenarios show distinct fractal characteristics that can effectively identify and diagnose tendon failures, which is essential to the development of a structural health monitoring system of FOWTs.
URI: https://hdl.handle.net/20.500.14279/22910
ISSN: 09601481
DOI: 10.1016/j.renene.2021.05.079
Rights: © Elsevier
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation: Ningbo University 
Liverpool John Moores University 
Cyprus University of Technology 
Tongji University 
University of Shanghai for Science and Technology 
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