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作 者:马怡 周爱国[1] 施金磊 赵世文 朱玉田[1] Ma Yi;Zhou Aiguo;Shi Jinlei;Zhao Shiwen;Zhu Yutian(College of Mechanical Engineering,Tongji University,Shanghai 201804,China)
机构地区:[1]同济大学机械与能源工程学院,上海201804
出 处:《太阳能学报》2024年第8期523-528,共6页Acta Energiae Solaris Sinica
摘 要:针对叶片抗弯刚度分布难以辨识的实际问题,提出一种基于单点静载挠度拟合和紧致差分格式的叶片抗弯刚度辨识方法,建立叶片静态标定工况弯曲变形数学模型,进一步推导出各截面挠度和抗弯刚度表达式。通过对多支不同型号叶片的分析结果表明,叶中部分抗弯刚度辨识误差均小于5%,验证了该方法的有效性。Identifying the distribution of wind turbin blade flexural stiffness in practical scenarios poses a significant challenge.To address this issue,this study proposes a novel blade flexural stiffness identification method based on two key components:single point static load deflection fitting and a compact finite difference scheme.By establishing a comprehensive mathematical model that captures blade bending deformation under static load calibration conditions,this study derives precise expressions for deflection and anti-bending stiffness for each section of the blade.Extensive analysis on various blade types reveals that the anti-bending stiffness identification error in the midsection of the blade remains below 5%,thus validating the effectiveness of the proposed method.
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