Innovative System for Monitoring and assessment of hIgh risk LANDslides (SIMLAND)

Background

One of the main challenges in the field of engineering geology is the comprehension of the triggering mechanisms of landslides and the forecast of possible evolutionary scenarios in order to assess the correct mitigation measures. Landslides can be initiated by a variety of triggers: from earthquakes to meteorological events, including intense or prolonged rainfall, rapid snow melting, and variations of the surface temperature conditions. Moreover, the climate change could have influence on number and magnitude of climate- and meteorological-driven natural hazards, including landslides. This is true also in the case of rock slope instabilities, which are one of the most dangerous phenomena, due to the difficulty of a temporal prediction and the high energy and velocity involved in the process. In addition, in the case of rock slopes, the analysis of strain accumulation and crack-induced released energy in the rock mass before collapse can provide useful information about the stability conditions of the rock mass itself.

Purpose

The main aim of SMILAND project is to test and develop a monitoring technique for the characterization of ultrasonic acoustic precursory patterns of unstable rock slopes, based on optical fiber sensors (FOS).

Methods

The roadmap will include, among other, the following steps:

1. development of suitable and accurate theoretical models to be used in the design of sensing schemes, sensor prototypes and data analysis algorithms;
2. extensive laboratory activity for the development and design of the sensors, characterization of the bare sensors and testing of sensors and data analysis algorithms on physical models (e.g., rock samples);
3. preliminary controlled field tests in a quarry located in Euganean Hills aimed at the definition of possible scale problems and characterization of the newly developed sensing schemes;