非高斯风场作用下风机结构极值响应估计

Extreme response estimation of wind turbine under non-Gaussian wind field

在Hermite矩模型基础上,根据Kaimal谱生成某典型风机结构正常运行和停机状态下,高斯、非高斯硬化和软化三种不同概率特性的风场,对风机进行全寿命可靠性分析。由叶片的气动模型和多体动力,计算出风机的动力响应,并对不同概率特性风场作用下结构响应进行分析。采用ACER方法,详细研究了不同风速区间内三种概率特性风荷载作用下,动力响应的短期极值,并结合平均风速的概率密度函数得到不同重现期动力响应的最大值和控制截面的失效概率。结果表明荷载的非高斯性对短期极值和长期极值均有影响,极值估计中需考虑荷载的非高斯性。在考虑风荷载非高斯性条件下,控制截面的极值失效概率较大。

Based on the Hermite moment model, three types of wind fieldswith different probability characteristics,namely Gaussian, hardening non-Gaussian and softening non-Gaussian processes, are generated by Kaimal spectrum for a typical wind turbine under operational and parked condition. The reliability analysisof wind turbine is carried out based on life cycle. The dynamic response is calculated by the aerodynamic model of blade and the multi-body dynamics, and the response of wind turbine under different wind fields are analyzed. The short-term extreme of dynamic response with different wind speed ranges is analyzed by ACER method under wind loads with different probability characteristics. The maximum values of the dynamic response and the failure probability of the control section with different return periods are obtained by combining with the probability density function of the average wind speed. The results show that the non-Gaussianwind has an influence on both the short-term and long-term responses, and the non-Gaussian characteristics of wind fields should be considered in the extreme estimation. If the non-Gaussian characteristicsare considered, the failure probabilities of extreme damage of the control section are larger.