Experimental validation of an analytical method for mass ground motion monitoring using fiber-optic sensors
Abstract
In this article, we present the implementation of a system for mass ground motion monitoring consisting of a soil profile prototype, a photonic sensor network based on Bragg gratings, and an interrogation system. The soil prototype was reproduced using polymeric materials representing the soil layers generally involved in landslide events. The sensor network consisted of inclinometers composed of cylindrical fiberglass rods instrumented with photonic sensors based on Bragg gratings, evenly distributed over the soil prototype. The interrogation system itself was composed of an interrogator device used to capture the information yielded by the sensors in the form of Bragg wavelength deviations, whose values were subsequently related to the deformations of the inclinometers by means of a signal processing algorithm, to yield motion detection results. The experimental results show that the implemented analytical algorithm can generate a vector indicating the direction of an eventual mass ground motion from the measurement of deformations in the implemented optical inclinometers with an average error of 3°. According to the low error levels obtained, it is demonstrated that the proposed photonic sensor network is a promising tool for landslide monitoring oriented to the reduction of the socioeconomic effects caused by natural disasters.
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