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Fibre Bragg Grating Sensor Signal Post-processing Algorithm: Crack Growth Monitoring in Fibre Reinforced Plastic Structures

机译:光纤布拉格光栅传感器信号后处理算法:纤维增强塑料结构的裂纹生长监测

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A novel method to assess a crack growing/damage event in fibre reinforced plastic, using conventional single mode Fibre Bragg Grating sensors embedded in the host material is presented in this article. Three different damage mechanisms that can change the sensor output, longitudinal strain ε_(xx), transversal stress σ_(yy,zz), and non-uniform strain ε_(xx)(xx), were identified. These damage mechanisms were identified during the experimental testing and linked with the sensor output using a digital image correlation technique. A dedicated algorithm to extract information from the reflected spectrum that enables crack detection was developed. Double Cantilever Beams specimens made with glass fibre and bonded with structural adhesive, were instrumented with a Fibre Bragg Grating array embedded in the host material, and tested using an experimental fracture procedure. This method was successfully validated in three different loading conditions, where were obtained very promising results that enable crack growth monitoring.
机译:使用嵌入在主体材料中的传统单模光纤布拉格光栅传感器的纤维增强塑料中的裂纹生长/损坏事件评估裂纹生长/损坏事件的新方法。鉴定了三种不同损伤机制,可以改变传感器输出,纵向应变ε_(XX),横向应力σ_(YY,ZZ)和不均匀应变ε_(XX)。在实验测试期间识别这些损坏机制,并使用数字图像相关技术与传感器输出连接。开发了一种专用算法,用于从反射频谱中提取信息,该算法开发了能够裂纹检测的反射频谱。用玻璃纤维制造的双悬臂梁梁并用结构粘合剂粘合,用嵌入主体材料中的纤维布拉格光栅阵列进行仪表,并使用实验性裂缝程序进行测试。该方法在三种不同的装载条件下成功验证,其中获得了非常有前途的结果,使得能够裂纹生长监测。

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