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Seismic Analysis of a 10 MW Offshore Wind Turbine With a Monopile

Bashir, M Seismic Analysis of a 10 MW Offshore Wind Turbine With a Monopile. In: Proceedings of The 7th Asia Conference on Earthquake Engineering . (The 7th Asia Conference on Earthquake Engineering, 22-24th November 2018, Bangkok, Thailand). (Accepted)

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With the continued increase in demand for offshore wind energy, larger capacity wind turbines are expected to be installed in areas that are susceptible to damage resulting from local and, potentially, earthquake loadings. Seismic studies on fixed bottom offshore wind turbines (OWTs) have been conducted with the largest capacity up to 5 MW. In order to address the needs for a larger capacity OWT (>5MW), this paper investigates the seismic behavior of the 10 MW reference wind turbine developed by Technical University of Denmark (DTU). A novel seismic analysis framework (SAF) is developed and implemented into the open source tool, FAST, in order to examine the coupled effect of earthquake and wind loadings. The approach used in this study is consistent with the earthquake force calculation method which has successfully been applied in the seismic analysis of building structures. A detailed investigation on the dynamic responses of the DTU 10 MW wind turbine subjected to the 1995 Kobe Japan earthquake event is conducted using SAF. The tower bending moment demand distributed along the tower is presented. In addition, the frequency characteristics of tower top displacements are also identified using the Hilbert Huang transform method. The results indicate that a more robust analysis of 10 MW turbine can be conducted using SAF in comparison to commercial tools.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TD Environmental technology. Sanitary engineering
T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Engineering
Publisher: ACEE
Date Deposited: 17 Nov 2020 12:12
Last Modified: 13 Apr 2022 15:18
URI: https://researchonline.ljmu.ac.uk/id/eprint/13525
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