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Tensio-Inclinometer: A Deployable Wireless Device to Underpin Early Warning Systems for Rainfall-Induced Shallow Landslides
Most of the Landslides Early Warning Systems (LEWS) currently in operation are based on monitoring rainfall data only. This feature limits their performance due to false alarms generated by rainfall thresholds inevitably conservative. The accuracy of LEWS may be significantly enhanced by monitoring soil-based variables associated with the stress-strain response of the ground. The paper presents a novel Tensio-inclinometer specifically developed to measure suction changes and suction-induced deformation in shallow covers. The device is made of a MEMS accelerometer mounted on the shaft of a commercial tensiometer. On-board electronics and battery-based power supply make the device fully wireless. The Tensio-inclinometer is therefore easy to deploy and install allowing the design of a flexible and adaptive monitoring network to underpin early-warning systems. The device was tested in a slope physical model where instability of a shallow silt layer was triggered by artificial rainfall. It is shown that pre-failure deformation, as detected by the tilting of the tensiometer shaft, is an adequate landslide precursor and that combined suction and rotation measurements can provide soil-based thresholds for early warning systems.
Tensio-Inclinometer: A Deployable Wireless Device to Underpin Early Warning Systems for Rainfall-Induced Shallow Landslides
Most of the Landslides Early Warning Systems (LEWS) currently in operation are based on monitoring rainfall data only. This feature limits their performance due to false alarms generated by rainfall thresholds inevitably conservative. The accuracy of LEWS may be significantly enhanced by monitoring soil-based variables associated with the stress-strain response of the ground. The paper presents a novel Tensio-inclinometer specifically developed to measure suction changes and suction-induced deformation in shallow covers. The device is made of a MEMS accelerometer mounted on the shaft of a commercial tensiometer. On-board electronics and battery-based power supply make the device fully wireless. The Tensio-inclinometer is therefore easy to deploy and install allowing the design of a flexible and adaptive monitoring network to underpin early-warning systems. The device was tested in a slope physical model where instability of a shallow silt layer was triggered by artificial rainfall. It is shown that pre-failure deformation, as detected by the tilting of the tensiometer shaft, is an adequate landslide precursor and that combined suction and rotation measurements can provide soil-based thresholds for early warning systems.
Tensio-Inclinometer: A Deployable Wireless Device to Underpin Early Warning Systems for Rainfall-Induced Shallow Landslides
Springer Ser.Geomech.,Geoengineer.
Ferrari, Alessio (editor) / Rosone, Marco (editor) / Ziccarelli, Maurizio (editor) / Gottardi, Guido (editor) / Coppola, Lucia (author) / Reder, Alfredo (author) / Tarantino, Alessandro (author) / Pagano, Luca (author)
National Conference of the Researchers of Geotechnical Engineering ; 2023 ; Palermo, Italy
Geotechnical Engineering in the Digital and Technological Innovation Era ; Chapter: 7 ; 55-62
2023-06-17
8 pages
Article/Chapter (Book)
Electronic Resource
English
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