Geomechanical Modelling and Rock Fragmentation Prediction for Blasting Optimization at a Limestone Quarry
Source abstract
Abstract
Limestone quarrying relies strongly on drilling and blasting, processes whose performance depends on both the geomechanical conditions of the rock mass and the resulting fragmentation. This study integrates rock mass characterization, blast analysis, and slope-stability assessment to optimize rock breakage and operational safety. Rock mass quality was evaluated using RMR, GSI, RQD, A-factor, and SMR, while slope stability was analyzed through the limit equilibrium method and kinematic analysis. Fragmentation was quantified using UAV-based photogrammetry combined with AI-driven particle-size detection, enabling the construction of granulometric curves. These data were incorporated into the Kuz–Ram model, applying the Ash method to determine optimal drilling patterns. Five distinct rock masses were identified, and wedge- and block-type instabilities were detected along the working face. Mitigation measures, including catch berms and drainage ditches, were proposed. Optimal burden values ranged from 2.59 to 3.35 m, yielding D80 values below 60 cm.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Rock Mechanics and Modeling · Landslides and related hazards · Mineral Processing and Grinding
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Engineering in Earth Sciences (FICT), ESPOL Polytechnic University, Gustavo Galindo Campus, Guayaquil 090101, Ecuador
Department of Engineering and Fiel Morphology, Polytechnic University of Madrid, 28040 Madrid, Spain
Funding
UPM Technical UNiversity of Madrid
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