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Dynamic Characteristics of an Offshore Wind Turbine with Tripod Suction Buckets via Full-Scale Testingopen access

Authors
Seo, Y.-H.Ryu, M.S.Oh, Ki-Yong
Issue Date
30-Mar-2020
Publisher
Hindawi Limited
Citation
Complexity, v.2020
Journal Title
Complexity
Volume
2020
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/41068
DOI
10.1155/2020/3079308
ISSN
1076-2787
1099-0526
Abstract
The dynamic characteristics of an offshore wind turbine with tripod suction buckets are investigated through finite element analysis and full-scale experiments. In finite element analysis, an integrated framework is suggested to create a simple yet accurate high fidelity model. The integrated framework accounts for not only the strain dependency of the soil but also for all dynamics in the seabed, including those of the soil, suction bucket skirt, and cap. Hence, the model accurately describes the coupling effect of translational and rotational motions of the seabed. The prediction results are compared to the experimental results obtained via full-scale testing in four stages during construction and in several operational conditions. The comparison shows that the stiffness of the suction bucket cap and strain dependency of the soil play a significant role in predicting natural frequency, suggesting that these two factors should be considered in finite element analysis for the accurate prediction of dynamic responses of an offshore wind conversion system. Moreover, dynamic analysis of the strain and acceleration measured during operational conditions shows that strain is more robust than acceleration with regard to the characterization of the overall dynamics of an offshore wind conversion system because the natural frequency of an offshore wind turbine is very low. It can be inferred that the measurement of strain is a more effective way to monitor the long-term evolution of dynamic characteristics. The suggested integrated framework and measurement campaign are useful not only to avoid conservatism that may incur additional costs during load calculation and design phases but also to establish an intelligent operation and maintenance strategy with a novel sensing technique. © 2020 Yun-Ho Seo et al.
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