In this paper, geotechnical and structural data from an open pit mine were used to generate spatially constrained largescale DFN models. Data from geotechnical boreholes were used to develop 3D block models of volumetric fracture intensity (P32), using a geostatistical simulation method. The block models were used for spatially constraining 3D geo-cellular DFN models. The fracture centers within the DFN cellular grid are controlled by the cellular P32 values, estimated using the 3D block model. The joints orientation was bootstrapped from drillhole loggings whereas trace length data, collected across the pit area, were used to further calibrate the geo-cellular models. The resulting DFN models represented the spatial variation of fracture geometry and intensity along the pit area and were employed for numerical modeling of step-path slope stability analysis of the pit slopes. 2D cross sections of the 3D DFN models were embedded into 2D finite element models of the pit slope for a probabilistic step path stability analysis. In addition, the DFN models were used to estimate the rock bridge percentage along the pit walls which was ultimately used to assess the composite rock mass strength for a limit equilibrium analysis of the overall pit slope. The results of the two numerical approaches were compared to a simplistic approach assuming an average rock mass structural condition.
Probabilistic Step-Path Slope Stability Analysis Using Spatially Constrained DFN Models – A Case Study at Tasiast Mine
Zhao, Y., and K. Esmaeili. "Probabilistic Step-Path Slope Stability Analysis Using Spatially Constrained DFN Models – A Case Study at Tasiast Mine." Paper presented at the 3rd International Discrete Fracture Network Engineering Conference, Santa Fe, New Mexico, USA, June 2022. doi: https://doi.org/10.56952/ARMA-DFNE-22-0030
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