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Research on fatigue damage detection for wind turbine blade based on high-spatial-resolution DPP-BOTDA

机译:基于高空间分辨率DPP-BOTDA的风机叶片疲劳损伤检测研究

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In this paper, a fatigue damage detection system used for wind turbine blade is successfully developed by using high-spatial-resolution differential pulse-width pair Brillouin optical time-domain analysis (DPP-BOTDA) sensing system. A piece of polarization-maintaining optical fiber is bonded on the blade surface to form the distributed sensing network. A DPP-BOTDA system, with a spatial resolution of 20cm and sampling interval of 1cm, is adopted to measuring distributed strain and detecting fatigue damage of wind turbine blade during fatigue test using the differential pulse pair of 39.5ns/41.5ns. Strain and the Brillouin gain spectra changes from undamaged state to fatigue failure are experimentally presented. The experimental results reveal that fatigue damage changes the strain distribution especially around the high strain area, and the width, amplitude and central frequency of the Brillouin gain spectra are sensitive to fatigue damage as the stiffness degradation and accumulated cracks change local strain gradient. As the damage becomes larger, the width of the Brillouin gain spectra becomes broader. Consequently, location and size of fatigue damage could be estimated. The developed system shows its potentiality for developing highly reliable wind turbine monitoring system as the effectiveness of damage detection and distributed sensing.
机译:本文通过利用高空间分辨率差分脉宽对布里渊光学时域分析(DPP-BOTDA)传感系统成功开发了用于风力涡轮机叶片的疲劳损伤检测系统。一根保持偏振的光纤粘合在叶片表面上,形成分布式传感网络。采用DPP-BOTDA系统,其空间分辨率为20cm,采样间隔为1cm,使用39.5ns / 41.5ns的差分脉冲对在疲劳测试过程中测量分布式应变并检测风力涡轮机叶片的疲劳损伤。实验给出了应变和布里渊增益谱从未破坏状态到疲劳破坏的变化。实验结果表明,疲劳损伤会改变应变分布,尤其是在高应变区域附近,而布里渊增益谱的宽度,幅度和中心频率对疲劳损伤敏感,因为刚度下降和累积的裂纹会改变局部应变梯度。随着损害变得更大,布里渊增益谱的宽度变得更宽。因此,可以估计疲劳损伤的位置和大小。所开发的系统显示了开发高度可靠的风力涡轮机监控系统的潜力,这是损坏检测和分布式传感的有效性。

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