Nonlinear Wave Loads on Offshore Wind Turbines: Extreme Statistics and Fatigue

<jats:title>Abstract</jats:title> <jats:p>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 f...

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Main Authors: Zhang, Yu, Sclavounos, Paul D.
Format: Article
Language:English
Published: American Society of Mechanical Engineers 2021
Online Access:https://hdl.handle.net/1721.1/136992
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author Zhang, Yu
Sclavounos, Paul D.
author_facet Zhang, Yu
Sclavounos, Paul D.
author_sort Zhang, Yu
collection MIT
description <jats:title>Abstract</jats:title> <jats:p>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.</jats:p>
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spelling mit-1721.1/1369922021-11-02T03:04:18Z Nonlinear Wave Loads on Offshore Wind Turbines: Extreme Statistics and Fatigue Zhang, Yu Sclavounos, Paul D. <jats:title>Abstract</jats:title> <jats:p>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.</jats:p> 2021-11-01T17:24:25Z 2021-11-01T17:24:25Z 2019-06-09 2020-08-05T13:42:37Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/136992 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. en 10.1115/omae2019-96679 Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE 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. application/pdf American Society of Mechanical Engineers ASME
spellingShingle Zhang, Yu
Sclavounos, Paul D.
Nonlinear Wave Loads on Offshore Wind Turbines: Extreme Statistics and Fatigue
title Nonlinear Wave Loads on Offshore Wind Turbines: Extreme Statistics and Fatigue
title_full Nonlinear Wave Loads on Offshore Wind Turbines: Extreme Statistics and Fatigue
title_fullStr Nonlinear Wave Loads on Offshore Wind Turbines: Extreme Statistics and Fatigue
title_full_unstemmed Nonlinear Wave Loads on Offshore Wind Turbines: Extreme Statistics and Fatigue
title_short Nonlinear Wave Loads on Offshore Wind Turbines: Extreme Statistics and Fatigue
title_sort nonlinear wave loads on offshore wind turbines extreme statistics and fatigue
url https://hdl.handle.net/1721.1/136992
work_keys_str_mv AT zhangyu nonlinearwaveloadsonoffshorewindturbinesextremestatisticsandfatigue
AT sclavounospauld nonlinearwaveloadsonoffshorewindturbinesextremestatisticsandfatigue