基于紧致差分格式的风电叶片抗弯刚度分布辨识
IDENTIFICATION OF WIND TURBINE BLADE ANTI-BENDING STIFFNESS BASED ON COMPACT DIFFERENCE SCHEME
马怡 1周爱国 1施金磊 1赵世文 1朱玉田1
作者信息
- 1. 同济大学机械与能源工程学院,上海 201804
- 折叠
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.
Abstract
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.
关键词
风电叶片/抗弯刚度/曲线拟合/标定/紧致差分格式Key words
wind turbine blades/anti-bending stiffness/curve fitting/calibration/compact difference scheme引用本文复制引用
出版年
2024
NETL
NSTL
万方数据