Characterization of rock slopes through slope mass rating using 3D point clouds

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Title: Characterization of rock slopes through slope mass rating using 3D point clouds
Authors: Riquelme, Adrián | Tomás, Roberto | Abellán Fernández, Antonio
Research Group/s: Ingeniería del Terreno y sus Estructuras (InTerEs)
Center, Department or Service: Universidad de Alicante. Departamento de Ingeniería Civil
Keywords: Geo-mechanical classifications | Slope Mass Rating | 3D point clouds | 3D laser scanner photogrammetry | Failure mechanism
Knowledge Area: Ingeniería del Terreno
Issue Date: 4-Jan-2016
Publisher: Elsevier
Citation: International Journal of Rock Mechanics and Mining Sciences. 2016, 84: 165-176. doi:10.1016/j.ijrmms.2015.12.008
Abstract: Rock mass classification systems are widely used tools for assessing the stability of rock slopes. Their calculation requires the prior quantification of several parameters during conventional fieldwork campaigns, such as the orientation of the discontinuity sets, the main properties of the existing discontinuities and the geo-mechanical characterization of the intact rock mass, which can be time-consuming and an often risky task. Conversely, the use of relatively new remote sensing data for modelling the rock mass surface by means of 3D point clouds is changing the current investigation strategies in different rock slope engineering applications. In this paper, the main practical issues affecting the application of Slope Mass Rating (SMR) for the characterization of rock slopes from 3D point clouds are reviewed, using three case studies from an end-user point of view. To this end, the SMR adjustment factors, which were calculated from different sources of information and processes, using the different softwares, are compared with those calculated using conventional fieldwork data. In the presented analysis, special attention is paid to the differences between the SMR indexes derived from the 3D point cloud and conventional field work approaches, the main factors that determine the quality of the data and some recognized practical issues. Finally, the reliability of Slope Mass Rating for the characterization of rocky slopes is highlighted.
Sponsor: This work was partially funded by the University of Alicante (vigrob-157 Project and GRE1404 Project), the Generalitat Valenciana (Projects GV/2011/044 and ACOMP/2014/136), the Spanish Ministry of Economy and Competitiveness (MINECO) and EU FEDER under Projects TEC2011-28201-C02-02 and TIN2014-55413-C2-2-P.
ISSN: 1365-1609 (Print) | 1873-4545 (Online)
DOI: 10.1016/j.ijrmms.2015.12.008
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2015 Elsevier Ltd.
Peer Review: si
Publisher version:
Appears in Collections:INV - INTERES - Artículos de Revistas

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