基于杆-光纤耦合结构的边坡深部位移测量与区域识别
Measurement and Region Identification in Deep Displacement of Slopes Based on Rod-Fiber Coupling Structure.
作者信息
Liu Pengzhen, Liu Zhen, Zhou Cuiying
机构信息
School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China.
Guangdong Engineering Research Centre for Major Infrastructure Safety, Guangzhou 510275, China.
出版信息
Sensors (Basel). 2022 May 10;22(10):3623. doi: 10.3390/s22103623.
For measuring and region-identifying the deep displacement of slopes, a rod-fiber coupling structure based on optical time-domain reflection technology was designed. Accuracy of measurement and region identification in the deep displacement of slopes were studied by calibration experiment and model experiment. A rod-fiber coupling structure was able to calculate the variation and accurately identify the region of deep displacement of a slope compared with the measured downslide displacement of the slope model. The maximum measurement error of the deep displacement of the slope was 10.1%, the identification error of the displacement region was less than 4.4%, and the accuracy of the displacement-region identification of the rod-fiber coupling structure was 3.1 cm. Thus, the rod-fiber coupling structure based on optical time-domain reflection technology can be used for measuring and for region identification in the deep displacement of the slopes, and can provide a new method for the identification of the sliding surfaces of slopes.
为了测量和识别边坡深部位移，设计了一种基于光时域反射技术的杆-光纤耦合结构。通过标定实验和模型实验研究了边坡深部位移测量和区域识别的精度。与边坡模型实测下滑位移相比，杆-光纤耦合结构能够计算边坡深部位移的变化并准确识别其区域。边坡深部位移的最大测量误差为10.1%，位移区域识别误差小于4.4%，杆-光纤耦合结构位移区域识别精度为3.1 cm。因此，基于光时域反射技术的杆-光纤耦合结构可用于边坡深部位移的测量和区域识别，为边坡滑动面的识别提供一种新方法。
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