
Proceedings Paper
Effects of installing scheme on the strain measurement accuracy of optical fiber sensorsFormat | Member Price | Non-Member Price |
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Paper Abstract
Fiber bragg grating has become one of the widely used optical measurement technologies in the field of aviation structure monitoring because of its light weight, high sensitivity and immunity to electromagnetic interference. A strain transfer model is established for the surface attached fiber grating, the function between real strain and sensing strain is obtained. Basing on finite element simulation, strain field distribution of the sensing structure is analyzed and the distribution curve of strain transform rate is drawn. The strain calibration system of fiber grating is built to verify the accuracy of the model. The average error of this model is superior to 5.5% in the measurement range of 0-3000με. The study improves the measurement precision of surface bonded fiber grating sensor, which also provides academic bases and references for the aircraft structural health monitoring.
Paper Details
Date Published: 14 February 2019
PDF: 4 pages
Proc. SPIE 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018), 110483Q (14 February 2019); doi: 10.1117/12.2519564
Published in SPIE Proceedings Vol. 11048:
17th International Conference on Optical Communications and Networks (ICOCN2018)
Zhaohui Li, Editor(s)
PDF: 4 pages
Proc. SPIE 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018), 110483Q (14 February 2019); doi: 10.1117/12.2519564
Show Author Affiliations
Guanghui Sui, Changcheng Institute of Metrology and Measurement (China)
Li Zhang, Changcheng Institute of Metrology and Measurement (China)
Li Zhang, Changcheng Institute of Metrology and Measurement (China)
Shuang Chen, Changcheng Institute of Metrology and Measurement (China)
Hongyang Li, Beihang Univ. (China)
Hongyang Li, Beihang Univ. (China)
Published in SPIE Proceedings Vol. 11048:
17th International Conference on Optical Communications and Networks (ICOCN2018)
Zhaohui Li, Editor(s)
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