Reducing uncertainty of Monte Carlo estimated fatigue damage in offshore wind turbines using FORM

Jan-Tore H. Horn, Jørgen Juncher Jensen

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Abstract

Uncertainties related to fatigue damage estimation of non-linear systems are highly dependent on the tail behaviour and extreme values of the stress range distribution. By using a combination of the First Order Reliability Method (FORM) and Monte Carlo simulations (MCS), the accuracy of the fatigue estimations may be improved for the same computational efforts.The method is applied to a bottom-fixed, monopilesupported large offshore wind turbine, which is a nonlinear and dynamically sensitive system. Different curve fitting techniques to the fatigue damage distribution have been used depending on the sea-state dependent response characteristics, and the effect of a bi-linear S-N curve isdiscussed. Finally, analyses are performed on several environmental conditions to investigate the long-term applicability of this multistep method. Wave loads are calculated using state-of-the-art theory, while wind loads are applied with a simplified model based on rotor thrust coefficients.
Original languageEnglish
Title of host publicationProceedings of the 13th International Symposium on PRActical Design of Ships and Other Floating Structures (PRADS' 2016)
Editors Ulrik Dam Nielsen, Jørgen Juncher Jensen
Number of pages11
PublisherTechnical University of Denmark
Publication date2016
ISBN (Electronic)978-87-7475-473-2
Publication statusPublished - 2016
Event13th International Symposium on Practical Design of Ships and Other Floating Structures (PRADS'2016) - Hotel Crowne Plaza, Copenhagen, Denmark
Duration: 4 Sep 20168 Sep 2016
Conference number: 13

Conference

Conference13th International Symposium on Practical Design of Ships and Other Floating Structures (PRADS'2016)
Number13
LocationHotel Crowne Plaza
CountryDenmark
CityCopenhagen
Period04/09/201608/09/2016

Keywords

  • Fatigue damage
  • FORM
  • Monopile
  • Monte Carlo simulation
  • Reliability
  • Wind turbine

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