Freezing thawing cycles are known to play an important role in fracture propagation on rock mass and thus in rock slope instabilities. In laboratories, this phenomenon can be studied through the measurement of the velocities of elastic waves. Seven types of rocks differing by their mineralogy and texture were tested (gneiss, basalt, amphibolite, dolomite, sandstone, marble limestone and calcite). Five samples of each rock were tested. All samples were submitted to freezing/thawing cycles following the European Standard describing the tests to determine the frost resistance of natural stone. Elastic waves were recorded on the samples every 14 cycles. The experimentation continued until the rock was macrofissurated. The evolution of the weight of the samples, the velocities of elastic waves, the evolution of the shapes of the waves were recorded to characterize changes over freeze-thaw cycles. In addition, signal processing on the waves allows to compute energy variations as well as the evolution of natural frequencies of the samples.

Foreseeing the failure of important unstable volumes is a major concern in the Alps, especially due to the presence of people and infrastructures in the valleys. The use of monitoring and remote sensing techniques is aimed at detecting potential instabilities and the combination of several techniques permits the cross-validation of the detected movements. Supplemented with field mapping and structural analysis, it is possible to define possible scenarios of rupture in terms of volume, mechanisms of failure and susceptibility. A combined observation strategy was applied to the study of major instability located in the Ticinese Alps (Switzerland), Cima del Simano, where the monitoring started in 2006 with the measurement of opened cracks with extensometers. Since 2021, the monitoring has been completed by LiDAR, satellite and GB-InSAR observations and structural analysis. Here, slow but constant movements of about 7 mm/yr were detected along with rockfall activities near the Simano summit. Eight failure scenarios of various sizes ranging from 2.3 × 10⁵ m³ to 51 × 10⁶ m³, various mechanisms (toppling, planar, wedge and circular sliding) and various occurrence probabilities were defined based on the topography and the monitoring results and by applying a Slope Local Base Level (SLBL) algorithm. Weather acquisition campaigns by means of thermologgers were also conducted to suggest possible causes that lead to the observed movements and to suggest the evolution of the instabilities with actual and future climate changes.