OFFSHORE WIND TURBINE NONLINEAR WAVE LOADS AND THEIR STATISTICS
Name
omae_141_03_031904.pdf
Description
Published version
Size
2.58 MB
Format
Adobe PDF
Checksum (MD5)
bc2a5250355d2220dbdcb9461de38fc9
Author(s)
Sclavounos, Paul D
Zhang, Yu
Ma, Yu
Larson, David F
Date Issued
2019
Journal
Journal of Offshore Mechanics and Arctic Engineering
Publisher
ASME International
Version
Final published version
Abstract
© 2019 by ASME. The development 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 is presented. Explicit expressions are derived for the time-domain nonlinear exciting forces in a sea state with significant wave height comparable to the diameter of the support structure based on the fluid impulse theory (FIT). The method is validated against experimental measurements with good agreement. 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 identification of the inertia and drag coefficients of a generalized nonlinear wave load model trained against experiments using support vector machine learning algorithms is discussed.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Operations Research Center
Terms of Use
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.
Persistent DSpace Link
DOI of Published Version
10.1115/1.4042264
