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Influence of Stochastic Discontinuity Network Parameters on the Formation of Removable Blocks in Rock Slopes
Authors:R Jimenez-Rodriguez  N Sitar
Institution:(1) ETS Ing. de Caminos, Canales y Puertos, Universidad Politécnica de Madrid, Spain;(2) Department of Civil and Environmental Engineering, University of California at Berkeley, USA;(3) Formerly at Department of Civil and Environmental Engineering, University of California at Berkeley, USA
Abstract:Summary  We study the effects of discontinuity network parameters on the formation of removable wedges in rock slopes. Discontinuities are simulated using the Poisson disk model, and removable wedges are identified using block theory. The formation of removable wedges of different sizes is assumed to follow a Poisson process. Poisson regression and Monte Carlo simulation are then used to identify statistically relevant parameters of the model, and to study the effects that variations in their values have on formation of removable blocks. The sensitivity of the results as a function of the mean orientations of the discontinuity sets forming the blocks is also studied by means of a parametric study. The volumetric intensity of discontinuities in the rock mass is found to have a significant impact on the computed estimates of removable block formation. As predicted by theory, our results indicate that, everything else being equal, the expected rate of formation of removable wedges is proportional to the square of the intensity measure. Estimates are also sensitive to changes in discontinuity size, especially in cases in which discontinuities are smaller than one to two times the height of the slope. The interaction between the mean size of discontinuities and the coefficient of variation of discontinuity sizes is found to be significant as well. Finally, results of our sensitivity analysis suggest that the orientation of discontinuity sets significantly affects the rate of formation of removable blocks in rock slopes. Author’s address: Dr. Rafael Jimenez-Rodriguez, ETS Ing. de Caminos, Canales y Puertos. Universidad Politecnica de Madrid, Spain
Keywords:: Block theory  fracture networks  Poisson disk model  
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