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- 저자 : ( Matteo Berti ) (검색결과 4 건)
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Back-analysis of a Large Landslide in a Heterogeneous Rock Mass
( Matteo Berti ),( Anna Rita Bernardi ),( Giuseppe Caputo ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
Flysch is a sedimentary rock consisting of a rhythmic alternation of hard (limestone, sandstone, siltstone) and weak (marl, mudstone, claystone) layers. Because of the presence of layers with different physical properties the mechanical characterization of heterogeneous rock masses such as flysch is a real challenge. Different methods have been proposed in the literature to characterize flysch, combining empirical classification indexes with laboratory tests. Most of these methods, however, were specifically designed for tunneling and underground excavations and their applicability to slope stability problems is not yet fully investigated. In this study, we analyze a large landslide in a cretaceous flysch rock in order to compare the mobilized strength at failure with those predicted by the modified GSI method (Marinos and Hoek, 2001). The landslide occurred in the Savena River basin (Northern Apennines of Italy) on April 6, 2013 with a volume of about 3 million cubic meters. Soon after the failure, geological, geotechnical, and geophysical investigations were carried out to detect the failure mechanism and define the landslide geometry. Back-analyses of the failed slope were performed using both limit equilibrium and finite difference methods to estimate the in situ strength of the flysch. The results show that the mobilized rock mass cohesion is very low and that the GSI method can predict the in situ strength only assuming a very high disturbance factor. Moreover, the analysis shows that the linearization criteria proposed in literature to compute the equivalent Mohr-Coulomb parameters remarkably overestimate the rock mass strength.
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( Alessandro Simoni ),( Benedikt Bayer ),( Matteo Berti ),( Silvia Franceschini ),( Gabriela Squarzoni ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
In this work we back-analyze two landslide failures that occurred in the Northern Apennines of Italy, in terms of surface movements and their relation with rainfalls. The two landslides have some similarities in that they are historical earthflows characterized by relatively long period of slow-moving stable sliding that can be interrupted by rapid acceleration and catastrophic failure. In both cases, the catastrophic failures were sudden and unexpected, causing problems to infrastructures (roads and railways) located at the toe of the landslides. We process interferograms of SAR images acquired by Sentinel 1 A/B with time spans ranging from 6 to 24 days, removing those having low coherence by manual inspection. The conventional 2-pass technique allowed us to obtain measurements of surface displacement despite the fact that no infrastructures nor major reflectors are present on landslide bodies. Our interferograms show that surface displacements are well visible since 2015. They display nearly continuous downslope motion with seasonal velocity changes. Time series between 2015 and 2018 shows that surface displacements can be appreciated throughout most part of the year with snow cover and summer peak of vegetation being the most notable exceptions. Distinct accelerations can be detected in space and time during the weeks and months preceding the catastrophic failures. We compare time-dependent deformations to precipitation patterns to explore interactions between precipitation and landslide kinematics and to document the transition from stable to unstable sliding. Our work indicate that InSAR interferometry can be successfully used to anticipate catastrophic failure.
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Landslide prediction, monitoring and early warning: a concise review of state-of-the-art
채병곤,박혁진,Filippo Catani,Alessandro Simoni,Matteo Berti 한국지질과학협의회 2017 Geosciences Journal Vol.21 No.6
Landslide is one of the repeated geological hazards during rainy season, which causes fatalities, damage to property and economic losses in Korea. Landslides are responsible for at least 17% of all fatalities from natural hazards worldwide, and nearly 25% of annual casualties caused by natural hazards in Korea. Due to global climate change, the frequency of landslide occurrence has been increased and subsequently, the losses and damages associated with landslides also have been increased. Therefore, accurate prediction of landslide occurrence, and monitoring and early warning for ground movements are very important tasks to reduce the damages and losses caused by landslides. Various studies on landslide prediction and reduction in landslide damage have been performed and consequently, much of the recent progress has been in these areas. In particular, the application of information and geospatial technologies such as remote sensing and geographic information systems (GIS) has greatly contributed to landslide hazard assessment studies over recent years. In this paper, the recent advances and the state-of-the-art in the essential components of the landslide hazard assessment, such as landslide susceptibility analysis, runout modeling, landslide monitoring and early warning, were reviewed. Especially, this paper focused on the evaluation of the landslide susceptibility using probabilistic approach and physically based method, runout evaluation using volume based model and dynamic model, in situ ground based monitoring techniques, remote sensing techniques for landslide monitoring, and landslide early warning using rainfall and physical thresholds.
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