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Advances on measuring deep-seated ground deformations using robotized inclinometer system

Academic Article
Publication Date:
2020
abstract:
In the field of geo-hazards and geo-engineering, monitoring networks represent a key element for the geological risk assessment and the design and management of large infrastructures construction. In the last decade, we have observed a strong development on remote sensing techniques but just small changes in the subsoil observations. However, this type of measurement is very important to have a three-dimensional representation of the studied area, since the surface measurements often represent a sum of deformations that develop in a complex way in the subsoil. In this paper, we present a robotic inclinometer system developed to acquire deep-seated ground deformations in boreholes. This instrumentation combines advantages offered by manual inclinometer measurements with a robotized approach that improves the results in term of accuracy, revisiting time, and site accessibility. The Automated Inclinometer System (AIS) allows one to explore automatically all the length of the monitored borehole using just one inclinometer probe with a semi-wireless system. The paper presents the system and a detailed dataset of measurements acquired on three inclinometer tubes installed for the monitoring of the construction phase of the new Line C Metro of Rome. The dataset was acquired in real monitored site and undisturbed conditions and can represent a benchmark for modern inclinometer measurements.
Iris type:
01.01 Articolo in rivista
Keywords:
inclinometer; landslides; subsoil observation; monitoring systems; geo-engineering
List of contributors:
Lollino, Giorgio; Godone, DANILO FRANCESCO STEFANO; Guenzi, Diego; Allasia, Paolo; Giordan, Daniele
Authors of the University:
ALLASIA PAOLO
GIORDAN DANIELE
GODONE DANILO FRANCESCO STEFANO
GUENZI DIEGO
Handle:
https://iris.cnr.it/handle/20.500.14243/410933
Published in:
SENSORS (BASEL)
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-85087451492&origin=inward
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