Slope stability
Slope stability and monitoring
Advanced monitoring, numerical modelling and early-warning technologies for large rock landslides, debris flows, rockfalls and snow avalanches.
Ground-based radar interferometry and modelling of large rock landslides
The research project investigates the assessment of critical conditions associated with large rock landslides. Funded by MIUR, it involves three research units: the University of Florence (RU1), the University of Bologna (RU2) and Politecnico di Torino (RU3).
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Reference sites and Politecnico di Torino activities
The Politecnico di Torino research unit focuses on GBInSAR data evaluation and interpretation (WP1) and on developing realistic landslide-evolution scenarios through numerical modelling (WP5).
Monitoring and modelling activities concern three reference sites: Torgiovannetto di Assisi in the Province of Perugia, the pilot area; Stromboli in the Province of Messina; and Beauregard in the Aosta Valley, both experimental sites.
Radar monitoring and validation
Ground-based radar interferometry is validated through comparison with conventional monitoring data. Interferometric acquisition and interpretation support three-dimensional slope surveys for numerical-model geometry and provide spatially distributed displacement measurements for model validation and back-analysis.
The IBIS-L apparatus, acquired by RU3 in 2008, measures displacement across areas illuminated by electromagnetic waves emitted at regular intervals. Within the project, it is used to monitor the three reference landslides.
Atmospheric-error correction
Interferometric campaign data are processed with dedicated software, with particular emphasis on innovative techniques for reducing atmospheric errors in ground-based radar measurements.
Corner reflectors and atmospheric stations installed on the slopes provide reference points and records of air pressure, humidity and temperature. These parameters are compared with radar and conventional measurements to optimise atmospheric-error evaluation and removal.
Numerical modelling, scenarios and early warning
In-situ monitoring provides the basis for numerical modelling aimed at reproducing plausible large-rock-landslide evolution. Research addresses both model initialisation—geometry and mesh generation—and interpretation for scenario development.
Continuum approaches such as FEM and FDM, discontinuum approaches such as DEM, particle-based techniques and combined Finite-Discrete Element Methods (FDEM) are employed. Automatic tools support the efficient creation of three-dimensional models using commercial and open-source software.
Monitoring and numerical results are compared at significant georeferenced slope locations using GIS applications. Validated models are used to produce run-out scenarios, estimate critical levels and define threshold values that support pre-operational alerting procedures in collaboration with RU1 and in accordance with national regulations.
People
Debris-flow and snow-avalanche detection
Research in this area develops and implements new techniques for detecting and monitoring debris flows and snow avalanches. Real-time detection of potentially destructive water, earth and snow mixtures is essential for reducing risk in densely populated Alpine areas.
OPTIALP – Fibre-optic detection of destructive events
OPTIALP is a patented, cutting-edge system that detects the mechanical vibrations generated by potentially destructive snow and soil–water mixtures through changes in the polarisation state of light travelling along an optical fibre.
optialp.jpg, .png or .webp.
One of the system’s principal advantages is its quasi-distributed, spatially continuous detection along the entire fibre. This improves on conventional monitoring technologies based on discrete sensors and isolated monitoring points.
OPTIALP was designed and extensively tested in a dedicated laboratory setup. The results demonstrated that the system can correctly identify signals generated by laboratory-scale mass movements. Field experimentation is now extending its application to debris flows, snow avalanches and rockfall impacts.
Publications
Nineteen publications are grouped by research area and ordered from newest to oldest.
Radar interferometry and landslide modelling — 13 publications
20161 publication
Combined Finite–Discrete Numerical Modeling of Runout of the Torgiovannetto di Assisi Rockslide in Central Italy
International Journal of Geomechanics · ASCE
16 pages · ISSN 1532-3641 · DOI: 10.1061/(ASCE)GM.1943-5622.0000646
20152 publications
Monitoring geotechnical structures by ground based radar interferometry
7th International Conference on Structural Health Monitoring of Intelligent Infrastructures, Torino, 1–3 July 2015 · DISEG, Politecnico di Torino
10 pages
Early warning monitoring of natural and engineered slopes with Ground-Based Synthetic Aperture Radar
Rock Mechanics and Rock Engineering · Springer
Vol. 48, pp. 235–246 · ISSN 0723-2632 · DOI: 10.1007/s00603-014-0554-4
20134 publications
Key aspects in 2D and 3D modeling for stability assessment of a high rock slope
Failure Predictions in Geotechnics, Salzburg, 9 October 2013 · OEGG
pp. 15–18
Interferometria radar e modellazione FDEM per lo studio di frane in roccia: un esempio di applicazione
IARG 2013 – Incontro Annuale dei Ricercatori di Geotecnica, Perugia, 16–18 September 2013
6 pages
Continuum-discontinuum modelling of failure and evolution mechanisms of deep seated landslides
6th International Conference on Discrete Element Methods, Golden, USA, 5–6 August 2013
pp. 295–300
Slope stabilization in difficult conditions: the case study of a debris slide in NW Italian Alps
Landslides · Springer
Vol. 10, pp. 343–355 · ISSN 1612-510X · DOI: 10.1007/s10346-013-0396-2
20123 publications
Rock Slide Simulation with the Combined Finite Discrete Element Method
International Journal of Geomechanics · ASCE
Vol. 12, pp. 711–721 · ISSN 1532-3641 · DOI: 10.1061/(ASCE)GM.1943-5622.0000204
Integrazione tra monitoraggio e modellazione delle grandi frane in roccia nell’ottica dell’allertamento rapido (Cap. 11)
Nuovi metodi di indagine, monitoraggio e modellazione degli ammassi rocciosi · CELID
pp. 211–230 · ISBN 9788876619854
Integrazione tra monitoraggio e modellazione delle grandi frane in roccia nell’ottica dell’allertamento rapido
IARG 2012, Padova, 2–4 July 2012 · Grafiche Turato Edizioni
6 pages · ISBN 9788889524671
20112 publications
Integration of Ground-Based Radar interferometry and conventional techniques for monitoring the Beauregard deep-seated landslide
8th International Symposium on Field Measurements in Geomechanics, Berlin, 12–16 September 2011
20 pages
FEM/DEM modeling of a slope instability on a circular sliding surface
13th International Conference of IACMAG, Melbourne, 9–11 May 2011
Vol. 2, pp. 1135–1140 · ISBN 9780980824421
20101 publication
Monitoring of the Beauregard landslide (Aosta Valley, Italy) using advanced and conventional techniques
Engineering Geology
Vol. 116, pp. 218–235 · ISSN 0013-7952 · DOI: 10.1016/j.enggeo.2010.09.004
Debris-flow, avalanche and rockfall detection — 6 publications
20232 publications
A new real-time debris flow and avalanches detection system based on optical fiber sensing
E3S Web of Conferences · 8th International Conference on Debris Flow Hazard Mitigation, Torino, 26–29 June 2023
Vol. 415, 4 pages · ISSN 2267-1242 · DOI: 10.1051/e3sconf/202341503001
Algorithm Optimization for Rockfalls Alarm System Based on Fiber Polarization Sensing
IEEE Photonics Journal · IEEE
Vol. 15, pp. 1–9 · ISSN 1943-0655 · DOI: 10.1109/JPHOT.2023.3281670
20201 publication
An Early Warning System for Debris Flows and Snow Avalanches
Lecture Notes in Civil Engineering · Springer
Vol. 40, pp. 338–347 · ISSN 2366-2557 · ISBN 9783030213589 · DOI: 10.1007/978-3-030-21359-6_36
20171 publication
A method for locating rockfall impacts using signals recorded by a microseismic network
Geoenvironmental Disasters · Springer
Vol. 4, pp. 1–12 · ISSN 2197-8670 · DOI: 10.1186/s40677-017-0091-z
20161 publication
A Robust Wireless Sensor Network for Landslide Risk Analysis: System Design, Deployment, and Field Testing
IEEE Sensors Journal · IEEE
Vol. 16, pp. 6374–6386 · ISSN 1530-437X · DOI: 10.1109/JSEN.2016.2579263
20141 publication
Il monitoraggio delle frane in tempo reale
Strade & Autostrade · EDI-CEM
Vol. 107, pp. 154–157 · ISSN 1723-2155
