A substructure approach for fatigue assessment on wind turbine support structures using output-only measurements
A substructure approach for fatigue assessment on wind turbine support structures using output-only measurements
复制标题
使用仅输出测量对风力涡轮机支撑结构进行疲劳评估的子结构方法
DOI：
10.1016/j.proeng.2017.09.285
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
E. Chatzi
中科院分区：
文献类型：
--
作者：
K. Tatsis;V. Dertimanis;I. Abdallah;E. Chatzi
疲劳是风力涡轮机的主要和高度不确定的安全相关因素。为了确保对此类结构进行可靠的疲劳评估，必须根据实际结构行为进行应力预测。由于风载荷和转子动力学的变化性带来的不确定性，在全球框架内对运行中的风力涡轮机进行响应识别是一个具有挑战性的问题。在减少这些不确定性，本研究提出了一个子结构的方法，它取消了建模的复杂和随时间变化的动态转子的需要。相反，响应预测是在塔架的子结构模型上进行的，并且通过支撑结构顶部的估计界面力来考虑风荷载和伺服动力学的影响。该应用程序是基于合成振动数据生成的FAST软件和输出只贝叶斯滤波器采用的结构模型的支持结构。所提出的框架的有效性提出在不同位置的塔的疲劳损伤估计。
Fatigue constitutes a major and highly-uncertain safety-related factor for wind turbines. In order to ensure a reliable fatigue assessment of such structures, it is essential that stress predictions be based on the actual structural behaviour. The response identification of operational wind turbines in a global framework constitutes a challenging problem due to the uncertainties associated with the variability of the wind loading and the dynamics of the rotor. In reducing these uncertainties, this study proposes a substructuring approach, which abolishes the need for modelling the intricate and time-varying dynamics of the rotor. Instead, response prediction is performed on a substructure model of the tower and the effect of wind loads and servo dynamics is accounted for via the estimated interface forces at the top of the support structure. The application is based on synthetic vibration data generated via the FAST software and an output-only Bayesian filter employing the structural model of the support structure. The effectiveness of the proposed framework is presented in terms of fatigue damage estimates at different locations on the tower.