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 Sept 20168 Sept 2016
    Conference number: 13

    Conference

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

    Keywords

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

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