Investigation of Distributed Optic Fiber Sensors Data Loss Due to Strain Gradient

IF 1.8 4区 工程技术 Q3 ENGINEERING, MECHANICAL
S. Farahbakhsh, M. Poncelet, L. Chamoin
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引用次数: 0

Abstract

While measuring strain with OFDR sensors, local data loss might be observed despite adherence to the prescribed strain range. A possible cause of this loss is the magnitude of the local strain gradient. To verify this hypothesis, a custom sample is here designed to impose controlled strain gradients along the fiber path. The results confirm that the occurrence of data loss is influenced by the strain gradient. Additionally, it is found that the gage pitch of the optic fiber sensor plays a crucial role in the amount of data loss, with larger gage pitches showing a higher propensity for data loss, with a significantly lower threshold. These findings are consistent with observations from previous tests, including a four-point bending test. These results provide valuable insights into the limitations of OFDR fiber sensors under high strain gradient conditions and suggest that sensor design, including gage pitch, should be carefully considered in applications requiring precise strain measurements.

应变梯度导致分布式光纤传感器数据丢失的研究
当使用OFDR传感器测量应变时,尽管遵守规定的应变范围,但可能会观察到局部数据丢失。造成这种损失的一个可能原因是局部应变梯度的大小。为了验证这一假设,这里设计了一个定制样品,以沿纤维路径施加受控的应变梯度。结果表明,数据丢失的发生受应变梯度的影响。此外,发现光纤传感器的规距在数据丢失量中起着至关重要的作用,较大的规距显示出更高的数据丢失倾向,阈值明显较低。这些发现与以前的测试结果一致,包括四点弯曲测试。这些结果为OFDR光纤传感器在高应变梯度条件下的局限性提供了有价值的见解,并建议在需要精确应变测量的应用中应仔细考虑传感器设计,包括计距。
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来源期刊
Experimental Techniques
Experimental Techniques 工程技术-材料科学:表征与测试
CiteScore
3.50
自引率
6.20%
发文量
88
审稿时长
5.2 months
期刊介绍: Experimental Techniques is a bimonthly interdisciplinary publication of the Society for Experimental Mechanics focusing on the development, application and tutorial of experimental mechanics techniques. The purpose for Experimental Techniques is to promote pedagogical, technical and practical advancements in experimental mechanics while supporting the Society''s mission and commitment to interdisciplinary application, research and development, education, and active promotion of experimental methods to: - Increase the knowledge of physical phenomena - Further the understanding of the behavior of materials, structures, and systems - Provide the necessary physical observations necessary to improve and assess new analytical and computational approaches.
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