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

• Slope Mass Rating (SMR) is calculated using 3D point clouds and fieldwork data.
• In all cases, RMRb is calculated with data obtained during fieldwork.
• Discontinuity sets are extracted from 3D datasets using different approaches.
• SMR results obtained using 3D point clouds and fieldwork data are compared.
• The SMR adjustment factors are calculated using the open source tool SMRTool.
• SMR calculation can be performed but some deviations are shown and discussed.

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.