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Evaluation of fatigue damage model predictions for fixed offshore wind turbine support structures

机译:固定式海上风机支撑结构疲劳损伤模型预测的评估

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摘要

This work deals with the evaluation of the spectral fatigue damage prediction of a tripod offshore wind turbine support structure subjected to combined stochastic wave and wind - induced loads. The stochastic loadings are defined using the sea states based on a scatter diagram related to the North Atlantic. Further, the power spectral density of the hot spot stress is estimated accordingly. The prediction of fatigue damage is evaluated in several spectral fatigue damage models including the Rayleigh, Wirsching-Light, Tunna, α_(0.75), Tovo and Benasciutti, Zhao-Baker, Rice and Dirlik models. Critical hot spot locations, which experience the most fatigue damage, are analysed based on the finite element method and the S-N fatigue damage approach. The time-domain solution based on the rainflow cycle counting method is assumed to be the "real" data and the model that best fits the fatigue damage of the wind turbine support structure is identified with the Akaike's Information Criterion.
机译:这项工作涉及对三脚架海上风力涡轮机支撑结构在随机波浪和风荷载作用下的组合的频谱疲劳损伤预测的评估。基于与北大西洋有关的散点图,使用海况定义随机载荷。此外,据此估计热点应力的功率谱密度。在几种频谱疲劳损伤模型中评估了疲劳损伤的预测,其中包括瑞利模型,维斯兴光模型,通纳模型,α_(0.75),Tovo和Benasciutti模型,赵贝克模型,赖斯模型和Dirlik模型。基于有限元方法和S-N疲劳损伤方法,分析了遭受最大疲劳损伤的关键热点位置。假定基于雨水循环计数方法的时域解决方案是“真实”数据,并且使用Akaike的信息准则确定了最适合风力发电机支撑结构疲劳损伤的模型。

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