Abstract
Floating offshore wind turbine (FOWT) towers are dynamically sensitive to wind and wave excitations. Since the wave tends to be harsher with the increase of wind speed, FOWT towers are likely to experience the most severe vibration operating at the cut-out wind speed. In the present study, the short-term dynamic reliability of a spar-type FOWT is evaluated based on the probability density evolution method (PDEM). For this purpose, an integrated coupled dynamics model for the FOWT is firstly established by incorporating the multibody dynamics with the finite element (FE) method. Next, the conditional joint probability distribution of the significant wave height and peak spectral wave period at the cut-out wind speed is constructed based on the copula model. Then, the stochastic dynamic response and reliability of the FOWT can be analyzed via PDEM. The numerical example of reliability analysis of a 5-MW spar-type FOWT operating at the cut-out wind speed is carried out, in which the long-term met-ocean data at a South China Sea site is utilized. Simulation results show that the reliability of the FOWT for normal operation is less than 0.2 when the acceleration at the tower top is adopted as the failure criterion.
Originalsprog | Engelsk |
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Tidsskrift | Renewable Energy |
Vol/bind | 168 |
Sider (fra-til) | 991-1014 |
ISSN | 0960-1481 |
DOI | |
Status | Udgivet - maj 2021 |
Bibliografisk note
Funding Information:Financial supports from the National Natural Science Foundation of China (Grant Nos. 11672209 , 51725804 , and 11761131014 ) and the International Joint Research Program of Shanghai Municipal Government (Grant No. 18160712800 ) are highly appreciated. The first author appreciates the support of the International Exchange Program for Graduate Students, Tongji University (No. 2018020025 ) for his visit to Trinity College Dublin.
Publisher Copyright:
© 2020 Elsevier Ltd
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Emneord
- Dynamics modeling
- Floating offshore wind turbine
- Probability density evolution method
- Reliability analysis
- Wind-wave joint distribution