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首页> 外文期刊>Journal of Physics: Conference Series >Reliability analysis of fatigue damage extrapolations of wind turbines using offshore strain measurements
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Reliability analysis of fatigue damage extrapolations of wind turbines using offshore strain measurements

机译:基于海上应变测量的风机疲劳损伤外推可靠性分析

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While substructures of offshore wind turbines become older and begin to reach their design lifetimes, the relevance of measurement based lifetime extension increases. To make well-founded decisions on possible lifetime extensions, damage extrapolations based on measurements are needed. However, although for all substructures, fatigue damage calculations were conducted during the design process, there is no consensus on how to extrapolate 10-minute damages to lifetime damages. Furthermore, extrapolating damages is an uncertain process and its actual reliability is unknown. Therefore, the current work uses data of offshore strain measurements to assess different approaches of extrapolating damages, and to investigate the reliability of damage extrapolations. For the present data, the most reliable lifetime estimations are possible, if the damage data is split up into wind speed bins. For each wind speed bin, the occurrence probability should be based on data rather than on design documents. Moreover, using mean damages in each bin is the best practice. Furthermore, our results suggest that strain measurements of about 9 to 10 months lead to a relatively representative and unbiased data set. Therefore, if there are no significant changes of the turbine or the environmental conditions over the lifetime, damage extrapolations based on such a time period are sufficiently accurate.
机译:当海上风力涡轮机的子结构变得更老并且开始达到其设计寿命时,基于测量的寿命延长的相关性增加。为了对可能的使用寿命延长做出有根据的决定,需要根据测量结果推断损坏。但是,尽管对于所有子结构,都在设计过程中进行了疲劳损伤计算,但是在如何将10分钟的损伤外推到寿命损伤方面尚无共识。此外,推断损害是一个不确定的过程,其实际可靠性是未知的。因此,当前的工作使用海上应变测量数据来评估不同的外推破坏方法,并研究外推破坏的可靠性。对于当前数据,如果将损坏数据分为风速仓,则可能是最可靠的寿命估计。对于每个风速仓,发生概率应基于数据而不是设计文档。此外,在每个垃圾箱中使用平均损坏是最佳做法。此外,我们的结果表明,大约9到10个月的应变测量会产生相对代表性且无偏见的数据集。因此,如果在整个使用寿命中涡轮机或环境条件没有明显变化,则基于此时间段的损坏推断是足够准确的。

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