Centrifugal model tests can accelerate the characterization of landslides and demonstrate the form of slope failure, which is an important measure to research its instability mechanisms. Simply observing the slope landslide before and after a centrifugal model test cannot reveal the processes involved in real-time deformation. Electromagnetic sensors have severed as an existing method for real-time measurement, however, this approach has significant challenges, including poor signal quality, interference, and complex implementation and wiring schemes. This paper aims to overcome the shortcomings of the existing measurement methods.
This work uses the advantages of fiber Bragg grating (FBG) sensors with their small form-factor and potential for series multiplexing in a single fiber to demonstrate a monitoring strategy for model centrifugal tests. A slope surface deformation displacement sensor, FBG anchor sensor and FBG anti-slide piling sensor have been designed. These sensors are installed in the slope models, while centrifugal acceleration tests under 100 g are carried out.
FBG sensors obtain three types of deformation information, demonstrating the feasibility and validity of this measurement strategy.
The experimental results provide important details about instability mechanisms of a slope, which has great significance in research on slope model monitoring techniques and slope stability.
This work was supported by the Open research fund of Hunan Provincial Key Laboratory of Hydropower Development Key Technology under Grant No. PKLHD201605, the National Natural Science Foundation of China under Grant No. 51605348, the Natural Science Foundation of Hubei province under Grant No. 2016CFB116 and the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project under Grant No. SKLGP2016Z007.
Guo, Y., Fu, J., Li, L. and Xiong, L. (2019), "Fiber Bragg grating sensor-based monitoring strategy for slope deformation in centrifugal model test", Sensor Review, Vol. 39 No. 1, pp. 71-77. https://doi.org/10.1108/SR-10-2017-0218Download as .RIS
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