DeRisk - Accurate prediction of ULS wave loads. Outlook and first results

Publication: Research - peer-reviewConference article – Annual report year: 2016

Documents

DOI

View graph of relations

Loads from extreme waves can be dimensioning for the substructures of offshore wind turbines. The DeRisk project (2015-2019) aims at an improved load evaluation procedure for extreme waves through application of advanced wave models, laboratory tests of load effects, development of hydrodynamic load models, aero-elastic response calculations and statistical analysis. This first paper from the project outlines the content and philosophy behind DeRisk. Next, the first results from laboratory tests with irregular waves are presented, including results for 2D and 3D focused wave groups. The results of focused wave group tests and a 6-hour (full scale duration) test are reproduced numerically by re-application of the wave paddle signal in a fully nonlinear potential flow wave model. A good match for the free surface elevation and associated exceedance probability curve is obtained. Finally, the utilization of DeRisk's results in practical design is discussed. (C) 2016 Published by Elsevier Ltd.
Original languageEnglish
JournalEnergy Procedia
Volume94
Pages (from-to)379-387
ISSN1876-6102
DOIs
StatePublished - 2016
Event13th Deep Sea Offshore Wind R&D Conference - Trondheim, Norway

Conference

Conference13th Deep Sea Offshore Wind R&D Conference
CountryNorway
CityTrondheim
Period20/01/201622/01/2016
Internet address

Bibliographical note

Copyright 2016 Published by Elsevier Ltd.This is an open access article under the CC BY-NC-ND license.

CitationsWeb of Science® Times Cited: 0

    Keywords

  • Extreme waves, Offshore wind turbines, Hydrodynamic loads, Numerical modelling, Physical model tests
Download as:
Download as PDF
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
Word

Download statistics

No data available

ID: 127446526