Nonlinear Wave Loads on Offshore Wind Turbines: Extreme Statistics and Fatigue
Name
v009t12a017-omae2019-96679.pdf
Description
Published version
Size
1.63 MB
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Unknown
Checksum (MD5)
78ffb7e074d478e22238174f91bc2eb6
Author(s) •
Zhang, Yu
Sclavounos, Paul D
Date Issued
June 9, 2019
Journal
Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
Publisher
American Society of Mechanical Engineers
Citation
Zhang, Yu and Sclavounos, Paul D. 2019. "Nonlinear Wave Loads on Offshore Wind Turbines: Extreme Statistics and Fatigue." Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE, 9.
Version
Final published version
Abstract
Abstract
The development is presented of an analytical model for the prediction of the stochastic nonlinear wave loads on the support structure of bottom mounted and floating offshore wind turbines. Explicit expressions are derived for the time-domain and frequency-domain nonlinear exciting forces in a seastate with significant wave height comparable to the diameter of the support structure based on the fluid impulse theory. The higher order moments of the nonlinear load are evaluated from simulated force records and the derivation of analytical expressions for the nonlinear load statistics for their efficient use in design is addressed.
The development is presented of an analytical model for the prediction of the stochastic nonlinear wave loads on the support structure of bottom mounted and floating offshore wind turbines. Explicit expressions are derived for the time-domain and frequency-domain nonlinear exciting forces in a seastate with significant wave height comparable to the diameter of the support structure based on the fluid impulse theory. The higher order moments of the nonlinear load are evaluated from simulated force records and the derivation of analytical expressions for the nonlinear load statistics for their efficient use in design is addressed.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1115/omae2019-96679