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Environmental lumping for efficient fatigue assessment of large-diameter monopile wind turbines

George Katsikogiannis, Stian H. Sørum, Erin E. Bachynski, Jørgen Amdahl

2021Marine Structures32 citationsDOIOpen Access PDF

Abstract

Fatigue 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 (time-domain 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.

Topics & Concepts

Offshore wind powerStructural engineeringTurbineWave loadingMarine engineeringReduction (mathematics)Time domainVibration fatigueWind speedEnvironmental scienceSubmarine pipelineComputer scienceEngineeringFinite element methodGeotechnical engineeringGeologyMathematicsMechanical engineeringGeometryOceanographyComputer visionStructural Integrity and Reliability AnalysisStructural Health Monitoring TechniquesWind and Air Flow Studies
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