Investigating Rock Mass Failure Precursors Using a Multi-sensor Monitoring System: Preliminary Results from a Test-Site (Acuto, Italy)

Andrea Fantini, Matteo Fiorucci, Salvatore Martino, Antonella Paciello

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In the last few years, several approaches and methods have been proposed to improve early warning systems for managing risks due to rapid slope failures where important infrastructures are the main exposed elements. To this aim, a multi-sensor monitoring system has been installed in an abandoned quarry at Acuto (central Italy) to realise a natural-scale test site for detecting rock-falls from a cliff slope. The installed multi-sensor monitoring system consists of: i) two weather stations; ii) optical cam (Smart Camera) connected to an Artificial Intelligence (AI) system; iii) stress- strain geotechnical system; iv) seismic monitoring device and nano-seismic array for detecting microseismic events on the cliff slope. The main objective of the experiment at this test site is to investigate precursors of rock mass failures by coupling remote and local sensors. The integrated monitoring system is devoted to record strain rates of rock mass joints, capturing their variations as an effect of forcing actions, which are the temperature, the rainfalls and the wind velocity and direction. The preliminary tests demonstrate that the data analysis methods allowed the identification of external destabilizing actions responsible for strain effects on rock joints. More in particular, it was observed that the temperature variations play a significant role for detectable strains of rock mass joints. The preliminary results obtained so far encourage further experiments.
Original languageEnglish
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventISRM European Rock Mechanics Symposium, EUROCK 2017 - Ostrava, Czech Republic
Duration: 1 Jan 2017 → …

Conference

ConferenceISRM European Rock Mechanics Symposium, EUROCK 2017
CountryCzech Republic
CityOstrava
Period1/1/17 → …

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Fantini, A., Fiorucci, M., Martino, S., & Paciello, A. (2017). Investigating Rock Mass Failure Precursors Using a Multi-sensor Monitoring System: Preliminary Results from a Test-Site (Acuto, Italy). Paper presented at ISRM European Rock Mechanics Symposium, EUROCK 2017, Ostrava, Czech Republic. https://doi.org/10.1016/j.proeng.2017.05.171