A stochastic approach to slope stability analysis in bimrocks

• Published in: International journal of rock mechanics and mining sciences (Oxford, England : 1997) England : 1997), 2018-01, Vol.101, p.41-49
• Main Authors: Napoli, Maria Lia, Barbero, Monica, Ravera, Elena, Scavia, Claudio
• Format: Article
• Language: English
• Subjects: Bimrock; Computer simulation; Empirical analysis; Equilibrium methods; Failure surface; FEM; Finite element analysis; Finite element method; LEM; Mathematical models; Monte Carlo simulation; Rocks; Safety factors; Slope stability; Stability analysis; Statistical analysis; Statistics; Stochastic approach; Stochastic models; Stochasticity; Tortuosity; Two dimensional analysis; Two dimensional models; Volumetric block proportion
• ISSN: 1365-1609; 1873-4545
• DOI: 10.1016/j.ijrmms.2017.11.009

The aim of this paper is to investigate slope stability in bimrocks using both finite element (FEM) and limit equilibrium (LEM) methods. More than 90 2D stability analyses were performed on slope models with the same geometry and with block proportions varying between 0% (matrix-only) and 70%. A stochastic approach was introduced in order to consider the inherent spatial and dimensional variability of rock inclusions. To this aim, a specific Matlab routine, performing numerical Monte Carlo simulations, was implemented. The code generates populations of 2D blocks with random sizes and positions within the slope models, according to specific statistical rules and given block contents. To achieve a statistical validity of the results, ten extractions and, hence, ten stability analyses were performed for each block proportion considered. Two empirical strength criteria available in the literature were also applied to the bimrock slope models by way of comparison. These criteria assume bimrocks to be homogeneous and isotropic masses with strength parameters that depend on their block contents and matrix strength. The effects of block proportions on safety factors, volumes involved and failure surfaces tortuosity provided by the different methods are discussed in detail. The findings of this study strongly suggest that bimrocks should be treated as heterogeneous materials, in order to avoid potential inaccuracies caused by neglecting the presence of blocks at the design stage. Furthermore, the benefits of using a stochastic rather than a deterministic approach to perform slope stability analyses in these heterogeneous materials is highlighted.