Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/19250
Title: | Wind-wave coupling effects on the fatigue damage of tendons for a 10 MW multi-body floating wind turbine | Authors: | Yang, Yang Bashir, Musa Wang, Jin Michailides, Constantine Loughney, Sean Armin, Milad Hernández, Sergio Urbano, Joaquín Li, Chun |
Major Field of Science: | Engineering and Technology | Field Category: | Civil Engineering | Keywords: | Multi-body platform;Floating wind turbines;ARCWIND;Aero-hydro-servo coupled method;Fatigue analysis;Tendons | Issue Date: | 1-Dec-2020 | Source: | Ocean Engineering, 2020, vol. 217, articl. no. 107909 | Volume: | 217 | Journal: | Ocean Engineering | Abstract: | This study investigates the wind-wave coupling effects on fatigue damage of tendons that connect multiple bodies of a novel floating platform (TELWIND) supporting a 10 MW wind turbine. An aero-hydro-servo tool is developed for dynamic analysis of a multi-body floating wind turbine (FWT) platform, by incorporating AeroDyn with AQWA through a user-defined dynamic library link (DLL) to conduct simulations of the FWT subjected to wind, wave and current loadings. The comparison against FAST has validated the accuracy of the AQWA-AeroDyn coupling framework in predicting coupled responses of the FWT. A specific site in the northern coast of Scotland is selected and design load cases are examined for the estimation of the fatigue damage of the tendons of the FWT. In the absence of wind-wave coupling, the motion differences between the two bodies of the platform are larger, leading to 43.7% enhancement in the tension fluctuation of tendons in average. Consequently, the fatigue damage of the tendons is significantly overestimated. Also, the investigation on the influence of effective simulation length on the fatigue damage shows that 90% accuracy can be achieved when 20% of the simulation analysis length is decreased. | URI: | https://hdl.handle.net/20.500.14279/19250 | ISSN: | 00298018 | DOI: | 10.1016/j.oceaneng.2020.107909 | Rights: | © Elsevier Attribution-NonCommercial-NoDerivatives 4.0 International |
Type: | Article | Affiliation : | Liverpool John Moores University Cyprus University of Technology ESTEYCO SA University of Shanghai for Science and Technology |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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