A High-Sensitivity Strain Sensor With Femtosecond Fiber Bragg Grating for Pipeline Deformation Monitoring
Structural health monitoring (SHM) of hydraulic pipelines plays a crucial role in preventing catastrophic failures, particularly when measuring large strains with high sensitivity. This study presents a novel high-sensitivity strain sensor utilizing femtosecond fiber Bragg grating (FS-FBG) technology to overcome the limitations of conventional monitoring techniques in extreme conditions. The sensor incorporates two key components: sensing and measuring members, featuring an innovative skeletonized sensitized shaft design. A pre-stressed FS-FBG is suspended axially within the structure. The relationship between fiber Bragg grating (FBG) wavelength displacement and pipe surface strain was validated using Bernoulli-Euler beam theory and finite element analysis. In order to accurately calibrate the performance of the sensor, a precision pipe deformation device was designed. Experimental results demonstrate that the sensor achieves a sensitivity of 4.19 pm/ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \varepsilon $ </tex-math></inline-formula>, which is 3.4 times higher than that of the FBG sensor, in the range of 0–<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1650~\mu \varepsilon $ </tex-math></inline-formula> of the pipe surface microstrain, and at the same time, it has excellent linearity, creep-resistant performance, and temperature compensation effect. The results provide a reliable solution for large strain monitoring of hydraulic pipelines under severe conditions.
Authors
- Yongxing Guo (ORCID: https://orcid.org/0000-0003-4579-488X)
- Zhongchun Hu (ORCID: https://orcid.org/0009-0009-8377-9470)
- Li Xiong (ORCID: https://orcid.org/0000-0002-9764-101X)
- Xiudong Li (ORCID: https://orcid.org/0009-0007-0054-4832)
- Yongjian Gong (ORCID: https://orcid.org/0009-0009-7917-1702)
- Chang Liu (ORCID: https://orcid.org/0009-0003-7804-0467)
- Yu Zhang (ORCID: https://orcid.org/0000-0001-8231-2910)
- Wanhuan Zhou
Institutions
- University of Macau (MO)
- China Academy of Safety Sciences and Technology (CN)
- China Railway Group (China) (CN)
- China Railway 18th Bureau Group Corporation
- Wuhan University of Science and Technology (CN)
- City University of Macau (MO)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1109/jsen.2025.3551731
- Citations
- 4
- Primary Topic
- Advanced Fiber Optic Sensors
- Type
- article
- Field-Weighted Citation Impact
- 2.92
Funders
- National Natural Science Foundation of China
- Science and Technology Planning Project of Guangdong Province