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author:

Lin, Jiahuan (Lin, Jiahuan.) [1] | Wang, Yangwei (Wang, Yangwei.) [2] | Zhang, Guanchen (Zhang, Guanchen.) [3] | Liu, Yuanchang (Liu, Yuanchang.) [4] | Zhang, Jun (Zhang, Jun.) [5] (Scholars:张俊)

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Abstract:

Compared to fixed-bottom wind turbines, offshore floating wind turbines (OFWTs) are subject to more prominent forced vibrations that require control measures. Considering the limited space within the nacelle, this paper proposed a novel methodology for designing a tuned mass dampers (TMD) installed inside the tower. To achieve an optimal design, a 4-degree-of-freedom simplify dynamic model is established to predict the vibration characteristics of spar OFWTs quickly and accurately. A new TMD configuration installed inside the tower is proposed to reduce the effect of space limitation and to determine the stroke limitation Based on the proposed methodology, the stiffness and damping of the TMD are designed and optimized, and then the detailed structural parameters are calculated. The comparison results show that, the proposed TMD achieves a maximum peak suppression rate of 90.67% in tower top fore-aft deformation power spectral density, which is 19.92% higher than that of the TMD designed by the formula method. The proposed TMD can effectively address the problem caused by the space limitation within nacelle, and provide superior vibration suppression for spar OFWTs. © 2024 Elsevier Ltd

Keyword:

Acoustic devices Dynamic models Offshore oil well production Offshore wind turbines Spectral density Towers Vibration control

Community:

  • [ 1 ] [Lin, Jiahuan]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Wang, Yangwei]School of Mechanical, Electrical and Automotive Engineering, Yantai University, Yantai; 264005, China
  • [ 3 ] [Zhang, Guanchen]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Liu, Yuanchang]Department of Mechanical Engineering, University College London, Torrington Place, London; WC1E 7JE, United Kingdom
  • [ 5 ] [Zhang, Jun]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Source :

Ocean Engineering

ISSN: 0029-8018

Year: 2024

Volume: 301

4 . 6 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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