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dc.contributor.authorKatsikogiannis, George
dc.contributor.authorSørum, Stian Høegh
dc.contributor.authorBachynski, Erin Elizabeth
dc.contributor.authorAmdahl, Jørgen
dc.identifier.citationMarine Structures. 2021, 77 .en_US
dc.description.abstractFatigue damage is one of the governing factors for the design of offshore wind turbines. However, the full fatigue assessment is a time-consuming task. During the design process, the site-specific environmental parameters are usually condensed by a lumping process to reduce the computational effort. Preservation of fatigue damage during lumping requires an accurate consideration of the met-ocean climate and the dynamic response of the structure. Two lumping methods (timedomain and frequency-domain) have been evaluated for a monopile-based 10 MW offshore wind turbine, both based on damage-equivalent contour lines. Fatigue damage from lumped load cases was compared to full long-term fatigue assessment. The lumping methods had an accuracy of 94–98% for the total long-term fatigue damage and 90% for individual wind speed classes, for aligned wind and waves. Fatigue damage was preserved with the same accuracy levels for the whole support structure. A significant reduction of computational time (93%) was achieved compared to a full long-term fatigue assessment. For the cases with 30◦ and 60◦ wind-wave misalignment, there was a mean underestimation of approximately 10%. Variations in penetration depth did not affect the selection of the lumped sea-state parameters. This work presents a straightforward method for the selection of damage-equivalent lumped load cases, which can adequately preserve long-term fatigue damage throughout the support structure, providing considerable reduction of computational effort.en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleEnvironmental lumping for efficient fatigue assessment of large-diameter monopile wind turbinesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.source.journalMarine Structuresen_US
dc.description.localcode© 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal