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Optimization of geostructural surveys in rock mass stability analyses using remote sensing techniques

Title: Optimization of geostructural surveys in rock mass stability analyses using remote sensing techniques
Authors: Loiotine, Lidia; Liso, Isabella Serena; Parise, Mario; Andriani, Gioacchino Francesco
Source: Italian journal of engineering geology and environment; 2019: Special issue: VI National Congress of AIGA (Matera, Italy); 73-78 ; 2035-5688 ; 1825-6635
Publisher Information: Sapienza Università Editrice
Publication Year: 2019
Collection: Sapienza Università di Roma: OJS - Open Journals Sapienza
Subject Terms: Stability; rock mass; point clouds; geomechanical classification
Description: Most instability processes in carbonate rock masses, such as slides, falls and topples are related to the mobilization of discrete blocks delimited by discontinuities (i.e. bedding planes or joints) and, eventually, to the presence of caves of both natural and man-made origin. Currently, the most sophisticated methods for evaluating potential or on-going gravitational instability mechanisms are based on advanced numerical software, that are also able to consider their evolution over time. In this context, accurate geomechanical characterizations, that include quantitative descriptions of the rock masses and of on-site materials, are fundamental for an appropriate stability analysis. Field geomechanical and geostructural surveys are carried out with the aim of detecting discontinuity orientation, spacing, persistence, roughness, wall strength, aperture, filling, seepage, number of discontinuity sets, block sizes and shapes. In practice, this approach is expensive and time-consuming, with many drawbacks such as lack of significant data in areas inaccessible or with difficult logistics. The aim of this research activity is to improve the methods for the characterization of rock masses by integrating traditional field surveys with remote sensing techniques, such as Terrestrial Laser Scanning (TLS), Light Detection and Ranging (LiDAR) and, eventually, Unmanned Aerial Vehicles (UAV), in order to carry out practical and realistic discontinuous modelling. Adequate case studies will be investigated by means of traditional scanline/window mapping methods and remote sensing techniques, supported by Terrestrial Laser Scanning and, at places, high-resolution UAV (Unmanned Aerial Vehicle) data. The acquired point clouds will be processed and tested for automatic (through algorithms) and semi-automatic (through algorithms and manual control) extraction of the discontinuities and related properties, both on raw data and on meshes, with the aim of establishing the most reliable method. The comparison of the results will allow to ...
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://rosa.uniroma1.it/rosa02/engineering_geology_environment/article/view/1146/1012; https://rosa.uniroma1.it/rosa02/engineering_geology_environment/article/view/1146
Availability: https://rosa.uniroma1.it/rosa02/engineering_geology_environment/article/view/1146
Rights: Copyright (c) 2019 Italian journal of engineering geology and environment ; https://creativecommons.org/licenses/by-nc-sa/4.0
Accession Number: edsbas.81315AA0
Database: BASE