Stern Yonatan, London Yosef, Preter Eyal, Antman Yair, Diamandi Hilel Hagai, Silbiger Maayan, Adler Gadi, Levenberg Eyal, Shalev Doron, Zadok Avi
Faculty of Engineering and Institute for Nano-Technology and Advanced Materials (BINA), Bar-Ilan University, Ramat-Gan 5290002, Israel.
Xenom Ltd., 4 Gluska st., Rishon LeTzion 7565004, Israel.
Sensors (Basel). 2017 Oct 2;17(10):2266. doi: 10.3390/s17102266.
Structural health monitoring is a critical requirement in many composites. Numerous monitoring strategies rely on measurements of temperature or strain (or both), however these are often restricted to point-sensing or to the coverage of small areas. Spatially-continuous data can be obtained with optical fiber sensors. In this work, we report high-resolution distributed Brillouin sensing over standard fibers that are embedded in composite structures. A phase-coded, Brillouin optical correlation domain analysis (B-OCDA) protocol was employed, with spatial resolution of 2 cm and sensitivity of 1 °K or 20 micro-strain. A portable measurement setup was designed and assembled on the premises of a composite structures manufacturer. The setup was successfully utilized in several structural health monitoring scenarios: (a) monitoring the production and curing of a composite beam over 60 h; (b) estimating the stiffness and Young's modulus of a composite beam; and (c) distributed strain measurements across the surfaces of a model wing of an unmanned aerial vehicle. The measurements are supported by the predictions of structural analysis calculations. The results illustrate the potential added values of high-resolution, distributed Brillouin sensing in the structural health monitoring of composites.
结构健康监测是许多复合材料的关键要求。众多监测策略依赖于温度或应变(或两者)的测量,然而这些通常仅限于点传感或小面积覆盖。利用光纤传感器可以获得空间连续数据。在这项工作中,我们报告了在嵌入复合结构的标准光纤上进行的高分辨率分布式布里渊传感。采用了相位编码的布里渊光学相关域分析(B-OCDA)协议,空间分辨率为2厘米,灵敏度为1°K或20微应变。在一家复合结构制造商的场地设计并组装了一个便携式测量装置。该装置成功应用于多个结构健康监测场景:(a)监测一根复合梁60小时的生产和固化过程;(b)估算一根复合梁的刚度和杨氏模量;(c)对一架无人机模型机翼表面进行分布式应变测量。这些测量结果得到了结构分析计算预测的支持。结果表明了高分辨率分布式布里渊传感在复合材料结构健康监测中的潜在附加值。