Proceedings of the First Asia Pacific Slope Stability in Mining Conference 2016
DOI: 10.36487/acg_rep/1604_31_zoorabadi
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Probabilistic slope stability analysis as a tool to optimise a geotechnical site investigation program

Abstract: Slope stability analysis is a branch of ground engineering science where there are a number of significant uncertainties. Although probabilistic slope stability analysis is an option in most commercial software, the use of this method is not common in practice. Apart from the ability of the probabilistic method to assess the impact of uncertainties on slope stability, it can also be used as a tool to optimise the geotechnical site investigation program. The first-order second-moment approximation of the Taylor… Show more

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Cited by 2 publications
(3 citation statements)
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“…It was generally observed that the highest embankment produced the lowest SF for both the LEM and FEM. Moreover, a close range was discovered between the patterns in all variations presented inFigures 16,17,18,and 22 while the others indicate a more significant difference.Figures 16,17…”
mentioning
confidence: 62%
See 1 more Smart Citation
“…It was generally observed that the highest embankment produced the lowest SF for both the LEM and FEM. Moreover, a close range was discovered between the patterns in all variations presented inFigures 16,17,18,and 22 while the others indicate a more significant difference.Figures 16,17…”
mentioning
confidence: 62%
“…It is possible to introduce some minor errors in the typical shear strength parameters due to the use of this approach, thereby, leading to uncertainty. Therefore, deterministic and probabilistic studies were used to evaluate the slopes' stability with due consideration for several data and uncertainties [15]- [17]. The slope reinforcement was also successfully simulated by this method in order to increase the SF values on numerous slopes [18]- [22].…”
Section: Limit Equilibrium Methods (Lem)mentioning
confidence: 99%
“…This is because the value factor of safety cannot capture the uncertainty resulting from the calculation. These aspects of reality will affect the results of the analysis (Zoorabadi, Canbulat and Ruest, 2016). Another alternative to the FS approach to reduce this uncertainty is to use a probabilistic method to calculate the probability of the failure (Azizi, Marwanza, and Ghifari, 2019).…”
Section: Introductionmentioning
confidence: 99%