小型风机叶片结构损伤识别实验模拟研究

SIMULATION RESEARCH FOR DAMAGE IDENTIFICATION OF SMALL-SCALE WIND TURBINE BLADE

摘要:

搭建小型风机叶片振动检测实验平台,采集风机叶片振动响应数据,利用自互功率谱法辨别叶片损伤前后的模态参数,通过实验数据对比风机叶片损伤前后固有频率的变化,当风机叶片发生损伤时,其各阶固有频率会下降,且随着损伤程度的增加,各阶固有频率的下降幅度越大,并利用轴向振型差法对叶片损伤进行了定位,在实验室条件下完成了风机叶片结构损伤的识别。

Abstract:

After the wind turbine blade vibration identification experimental platform set up, the blade vibration response data is collected. Then the self-cross spectrum density method is used to identify model parameters of wind turbine blade before and after damaged. Which is found by contrasting experimental data that wind turbine blade structural damage will cause its frequency to a certain degree of decline, and the degree of frequency decreased become greater with the increase of damage degree. Axial mode difference method is used to fix a position on the blade damage. Structural damage of wind turbine blade is completed under laboratory conditions.