Abstract
Over the last few decades, both natural and man-made territories in Italy have shown great vulnerability due to the impact of climate change and the lack of maintenance of the territory itself. This makes it necessary to adopt surveillance and alert systems able to detect, in real time, the imminence of critical phenomena. In this context, optical fiber-based sensors are proving to be an innovative and appealing instrumentation in many applications due to their low cost-effectiveness and their possible large-scale use. In the geotechnical field, their employment in the monitoring of landslide deformation fields, or of elements interacting with landslides, has been tested both in the laboratory and at full scale. This paper presents two recent applications of distributed fiber-optic sensors on slow-moving landslides: in one application, they are the basic element of a smart inclinometer; in the other, they are the tool for monitoring passive composite anchors properly designed for slope stabilization. Measurements taken over more than one year show their feasibility in realizing a stand-alone real-time monitoring system for both landslides and interacting structures, but also reveal some difficulties and limitations inherent in their use.
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References
Trigila, A., Iadanza, C., Esposito, C., Scarascia Mugnozza, G.: Comparison of logistic regression and random forests techniques for shallow landslide susceptibility assessment in Giampilieri NE Sicily. Italy. Geomorphology 249, 119–136 (2015)
Bao, X.Y., Chen, L.: Recent progress in Brillouin scattering based fiber sensors. Sensors 11(4), 4152–4187 (2011)
Sun, Y., Shi, B., Zhang, D., et al.: Internal Deformation Monitoring of Slope Based on BOTDR. J. Sensors. (2016). Article ID 9496285
Zhou, Y., Dongjian, Z., Zhuoyan, C., et al.: Research on a novel inclinometer based on distributed optical fiber strain and conjugate beam method. Measurements 153 (2020)
Brezzi, L., Bisson, A., Pasa, D., Cola, S.: Innovative passive reinforcements for the gradual stabilization of a landslide according with the Observational Method. Landslides 18, 2143–2158 (2021)
Cola, S., Schenato, L., Brezzi, L., Tchamaleu Pangop, F.C., Palmieri, L., Bisson, A.: Composite anchors for slope stabilization: monitoring of their in-situ behavior with optical fibre. Geosciences 9, 240 (2019)
Minutolo, V., Cerri, E., Coscetta, A., et al.: NSHT: New Smart Hybrid Transducer for Structural and Geotechnical Applications. Appl. Sci. 10(13), 4498 (2020)
Zhang, L., Shi, B., Zhu, H., Yu, X., Wei, G.: A machine learning method for inclinometer lateral deflection calculation based on distributed strain sensing technology. Bull. Eng. Geol. Env. 79(7), 3383–3401 (2020). https://doi.org/10.1007/s10064-020-01749-3
Di Gennaro, L., Damiano, E., De Cristofaro, M., et al.: An innovative geotechnical and structural monitoring system based on the use of NSHT. Smart Mater. Struct. 31, 065022 (2022)
Valiante, M., Guida, D., Della Seta, M., Bozzano, F.: A spatiotemporal object-oriented data model for landslides (LOOM). Landslides 18(4), 1231–1244 (2020). https://doi.org/10.1007/s10346-020-01591-4
Acknowledgement
The research on smart inclinometer was partially funded by the Program VALERE: “VAnviteLli pEr la RicErca”, DDG n. 516–24/05/2018. The research on smart anchors was funded by the project POR-FERS INMOSTRA by the Veneto Region and by a research accord with the Province of Vicenza.
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Brezzi, L. et al. (2023). Distributed Fiber-Optic Sensors for Monitoring Slow Landslides and Anchors for Their Stabilization. In: Ferrari, A., Rosone, M., Ziccarelli, M., Gottardi, G. (eds) Geotechnical Engineering in the Digital and Technological Innovation Era. CNRIG 2023. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-031-34761-0_19
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