Probabilistic analysis of batter scale slopes: bridging the gap between Factor of Safety and Probability of Failure

Authors: Abu-Taleb, H Download Paper Open access courtesy of:

DOI https://doi.org/10.36487/ACG_repo/2335_60

Cite As:
Abu-Taleb, H 2023, 'Probabilistic analysis of batter scale slopes: bridging the gap between Factor of Safety and Probability of Failure', in PM Dight (ed.), SSIM 2023: Third International Slope Stability in Mining Conference, Australian Centre for Geomechanics, Perth, pp. 867-882, https://doi.org/10.36487/ACG_repo/2335_60



Abstract:
Slope stability analysis in structurally controlled rock mass domains often relies on kinematic analysis, which overlooks the inherent variability of material strength parameters. Consequently, designs derived from this conservative approach frequently fall short of meeting the targeted design acceptance criteria when compared to actual field performance. This study introduces an analytical solution for probabilistic analysis of batter scale slopes subjected to planar sliding, with consideration to the multivariate distribution of the input parameters. A comparative analysis between the results obtained from the proposed analytical method and conventional approaches reveals the conservative nature of the latter, leading to reduced design batter face angles. By addressing the limitations of conventional kinematic analysis and highlighting the conservatism in design, this research contributes to the field of geotechnical engineering, offering valuable insights for improved slope stability assessment in structurally controlled domains.

Keywords: slope optimisation, probabilistic analysis, planar sliding

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