XU Shi-ang, ZHANG Ping-song, CHENG Gang, et al. Analysis and prediction model of sensing fiber optic cable coupling test based
on sand compression deformation[J]. 2024, 45(5): 1570-1582.
DOI:
XU Shi-ang, ZHANG Ping-song, CHENG Gang, et al. Analysis and prediction model of sensing fiber optic cable coupling test based
on sand compression deformation[J]. 2024, 45(5): 1570-1582.DOI: 10.16285/j.rsm.2023.0733.
Analysis and prediction model of sensing fiber optic cable coupling test based
on sand compression deformation
Disaster monitoring and prediction play significant roles in the fields of geology and geotechnical engineering. Distributed fiber optic sensing technology plays a significant role in long-distance
long-cycle
highly hidden
strong sudden disaster monitoring by virtue of its continuous
real-time
anti-interference
good stability and other advantages. However
effectively evaluating and addressing the coordination deformation issue between the sensing fiber optic cable and the measured rock and soil mass is crucial for different engineering problems. This coordination is essential for accurately analyzing deformation distribution and understanding the evolutionary patterns of rock and soil masses. In this paper
the development of a three-dimensional active deformation controllable confining pressure fiber-sand coupling test device is presented. The device aims to investigate the coordination between the metal base cable sensing fiber and the compression deformation of coarse sand medium under a confining pressure range of 0 to 4.0 MPa. Experimental results show that the metal base cable exhibits inadequate coordination with sand compression deformation at low confining pressures
the coupling effect between the sensor cable and the sand intensifies
resulting in linear deformation changes. Notably
when the confining pressure reaches 1.6 MPa
there is a significant enhancement in coordinated deformation
transitioning the deformation from nonlinear to linear behavior. Based on the aforementioned deformation characteristics
we propose a numerical model of confining surface projection. To predict the actual displacement of non-test data
we employ the spline interpolation algorithm with non-kink boundary conditions. The results demonstrate the reliability of the model. Furthermore
the experimental study highlights the higher accuracy of the metal base cable for sand deformation testing under high confining pressure conditions. The findings of this study serve as a scientific reference for the application of distributed optical fiber sensing technology in deep stratum deformation monitoring.