0
research-article

OFFSHORE WIND TURBINE NONLINEAR WAVE LOADS AND THEIR STATISTICS

[+] Author and Article Information
Paul Sclavounos

Massachusetts Institute of Technology, 77 Massachusetts Ave, 5-320, Cambridge, MA 02139, USA
pauls@mit.edu

Yu Zhang

Massachusetts Institute of Technology, 77 Massachusetts Ave, 5-329, Cambridge, MA 02139, USA
yu_zhang@mit.edu

Yu Ma

Massachusetts Institute of Technology, 77 Massachusetts Ave, 5-329, Cambridge, MA 02139, USA
yuma@mit.edu

David F. Larson

Massachusetts Institute of Technology, 77 Massachusetts Ave, 5-329, Cambridge, MA 02139, USA
dflarson@mit.edu

1Corresponding author.

ASME doi:10.1115/1.4042264 History: Received December 26, 2017; Revised September 24, 2018

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 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 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.

Copyright (c) 2018 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In