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Mooring system fatigue analysis of a floating offshore wind turbine

机译:海上浮式风力发电机的系泊系统疲劳分析

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Mooring systems are under a cyclic loading process caused by the randomness of metocean conditions, which could lead to a fatigue failure of the station keeping system. The present paper presents an innovative methodology for the assessment of floating offshore wind turbine mooring system fatigue considering the full lifetime of the structure. The method integrates the impact of the life cycle metocean conditions over the dynamic performance of the platform thanks to coupled numerical models, selection and non-linear data interpolation techniques and commonly accepted fatigue approaches. One of the benefits of using this methodology is that there are no uncertainties due to the selection of a reduced set of sea states. The methodology is applied to a set of moorings with different properties in the DeepCwind platform to evaluate the solution which offers the best compromise between size and fatigue damage. Results show that the best long-term mooring behaviour is achieved with a weight of approximately 300 kg/m. A comparison is conducted between the fatigue damage obtained through the life-cycle method and conventional methods. The mean differences observed between the standard and the new method proposed are between 13% and 49% depending on the use of the S-N or T-N curves.
机译:系泊系统由于海洋条件的随机性而处于周期性加载过程中,这可能会导致站台保持系统疲劳失效。考虑到结构的整个使用寿命,本文提出了一种创新的方法来评估海上浮式风力涡轮机系泊系统的疲劳。由于耦合的数值模型,选择和非线性数据插值技术以及公认的疲劳方法,该方法整合了生命周期气象条件对平台动态性能的影响。使用此方法的好处之一是,由于选择了一组简化的海州,因此没有不确定性。该方法应用于DeepCwind平台中一组具有不同特性的系泊设备,以评估解决方案,该解决方案在尺寸和疲劳损伤之间提供了最佳折衷方案。结果表明,在大约300 kg / m的重量下,可获得最佳的长期系泊性能。将通过寿命周期方法获得的疲劳损伤与传统方法进行了比较。根据使用S-N或T-N曲线的不同,所观察到的标准方法与新方法之间的平均差异在13%至49%之间。

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