Abstract Uncertainties associated with aerodynamic properties of wind turbine blades, such as the lift coefficient and its first derivative with respect to the angle of attack, measured in the wind tunnel, are not negligible. Uncertainties are due to random experimental laboratory errors. Uncertainties are examined by high frequency force balance tests in Northeastern University's wind tunnel. Experiments are conducted on various scale models of airfoil sections, derived from a benchmark wind turbine blade. Effects of angle of attack, Reynolds number and incoming turbulent flow conditions are considered. First, basic statistical descriptors and statistical inference are utilized to characterize experimental errors in lift coefficients and their first derivative. Second, two methods, based on polynomial representation and linear interpolation of empirical histograms, are investigated to synthetically generate random samples of the lift coefficient derivative. Suitability is verified by hypothesis testing. Finally, samples are employed for Monte-Carlo-based stochastic flutter analysis of a full-scale blade.

中文翻译：

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试验误差检验及其对风力机叶片气动特性的影响

摘要 与风力涡轮机叶片的空气动力学特性相关的不确定性，例如在风洞中测量的升力系数及其相对于攻角的一阶导数，是不可忽略的。不确定性是由于随机实验实验室错误造成的。通过在东北大学风洞中进行的高频力平衡测试来检查不确定性。实验是在翼型截面的各种比例模型上进行的，这些模型源自基准风力涡轮机叶片。考虑了攻角、雷诺数和进入的湍流条件的影响。首先，利用基本统计描述符和统计推断来表征升力系数及其一阶导数的实验误差。二、两种方法，基于多项式表示和经验直方图的线性插值，研究了综合生成升力系数导数的随机样本。通过假设检验来验证适用性。最后，样本用于全尺寸叶片的基于蒙特卡罗的随机颤振分析。