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首页> 外文期刊>The Journal of Adhesion >Strain Profile Measurement for Structural Health Monitoring of Woven Carbon-fiber Reinforced Polymer Composite Bonded joints by Fiber Optic Sensing Using an Optical Backscatter Reflectometer
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Strain Profile Measurement for Structural Health Monitoring of Woven Carbon-fiber Reinforced Polymer Composite Bonded joints by Fiber Optic Sensing Using an Optical Backscatter Reflectometer

机译:使用光学背散射反射仪通过光纤传感对碳纤维增强的聚合物复合材料粘合接头的结构健康进行监测的应变轮廓测量

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摘要

In order to monitor crack initiation and propagation under static and fatigue loading in adhesively bonded joints, strain profile measurement such as backface strain (BFS) is a very efficient technique. In single lap (SL) joints, crack initiation and propagation in the glue line can be monitored by detecting the negative peak of the strain profile. Therefore, the accuracy of the monitoring system greatly depends on detecting the strain profile correctly and accurately. Previously, an array of electrical strain gages as well as fiber Bragg grating (FBG) sensors had been used successfully to capture the profile of BFS of a SL joint by applying sensors on the backface of an adherend, near the overlap zone. In this work, the backface technique is improved by replacing an array of strain sensors by an ordinary optical fiber (without FBG sensors) connected to an optical backscatter reflectometer. The great advantage of this system over the more conventional arrays of FBG is that the entire length of the fiber can be used for sensing strains, and hence it provides a better spatial resolution. The experimental results are compared with finite element analyses, which were further validated by two-dimensional digital image correlation measurements.
机译:为了监视在胶粘接头的静态和疲劳载荷下的裂纹萌生和扩展,应变分布测量(例如背面应变(BFS))是一种非常有效的技术。在单搭接(SL)接头中,可以通过检测应变曲线的负峰值来监控胶线中的裂纹萌生和扩展。因此,监视系统的准确性很大程度上取决于正确而准确地检测应变曲线。以前,通过在重叠区域附近将传感器应用于被粘物的背面,已成功地使用了一系列电应变计以及光纤布拉格光栅(FBG)传感器来捕获SL接头的BFS轮廓。在这项工作中,通过使用连接到光学背向散射反射仪的普通光纤(无FBG传感器)替换应变传感器阵列来改进背面技术。该系统相对于更传统的FBG阵列的最大优势在于,光纤的整个长度都可用于感测应变,因此可提供更好的空间分辨率。将实验结果与有限元分析进行比较,并通过二维数字图像相关性测量进一步验证了该结果。

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