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Experimental study on an FBG strain sensor.

Authors :
Liu, Hong-lin
Zhu, Zheng-wei
Zheng, Yong
Liu, Bang
Xiao, Feng
Source :
Optical Fiber Technology. Jan2018, Vol. 40, p144-151. 8p.
Publication Year :
2018

Abstract

Landslides and other geological disasters occur frequently and often cause high financial and humanitarian cost. The real-time, early-warning monitoring of landslides has important significance in reducing casualties and property losses. In this paper, by taking the high initial precision and high sensitivity advantage of FBG, an FBG strain sensor is designed combining FBGs with inclinometer. The sensor was regarded as a cantilever beam with one end fixed. According to the anisotropic material properties of the inclinometer, a theoretical formula between the FBG wavelength and the deflection of the sensor was established using the elastic mechanics principle. Accuracy of the formula established had been verified through laboratory calibration testing and model slope monitoring experiments. The displacement of landslide could be calculated by the established theoretical formula using the changing values of FBG central wavelength obtained by the demodulation instrument remotely. Results showed that the maximum error at different heights was 9.09%; the average of the maximum error was 6.35%, and its corresponding variance was 2.12; the minimum error was 4.18%; the average of the minimum error was 5.99%, and its corresponding variance was 0.50. The maximum error of the theoretical and the measured displacement decrease gradually, and the variance of the error also decreases gradually. This indicates that the theoretical results are more and more reliable. It also shows that the sensor and the theoretical formula established in this paper can be used for remote, real-time, high precision and early warning monitoring of the slope. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10685200
Volume :
40
Database :
Academic Search Index
Journal :
Optical Fiber Technology
Publication Type :
Academic Journal
Accession number :
127815497
Full Text :
https://doi.org/10.1016/j.yofte.2017.09.003