Deterministic and probabilistic failure analysis of simple geosynthetic reinforced soil slopes. Issue 1 (5th July 2016)

• Record Type: Journal Article
• Authors: Javankhoshdel, S.; Bathurst, R. J.
• Is Part Of: Geosynthetics international. Volume 24:Issue 1(2017)
• Page Start: 14
• Page End: 29
• Publication Date: 2016-07-05
• Subjects: Geosynthetics -- reinforced slopes -- deterministic analysis -- probabilistic analysis -- internal failure -- external failure -- cross correlation; Geosynthetics -- Periodicals; Geosynthetics; Periodicals; 624.1892
• DOI: 10.1680/jgein.16.00012
• Languages: English
• ISSNs: 1072-6349

Abstract

Abstract : Reinforced slopes with horizontal layers of geosynthetic reinforcement can have different mechanisms of failure. In this paper two major mechanisms of failure of reinforced slopes are investigated. External mechanisms occur when the critical slip surface passes beyond the reinforced zone. Internal mechanisms are characterised by failure surfaces that intersect all of the reinforcement layers. For a target value of the factor of safety and a specific value of the reinforcement length, there is a minimum value of the reinforcement tensile strength that will generate only external mechanism types. For greater reinforcement strength values, there is no change in the mechanism of failure and the value of the factor of safety. On the other hand, increasing the minimum reinforcement length, while keeping the reinforcement tensile strength equal to or less than the minimum value obtained for an external failure mechanism, will generate an internal mechanism type with the same mean value of factor of safety. In this study, probabilistic slope stability analysis of these two mechanisms is carried out using Monte Carlo simulation of slopes with different purely frictional and cohesive-frictional ( c − ϕ ) soils and different slope angles. Margins of safety are expressed in terms of a conventional factor of safety and in terms of maximum probability of failure. Cross correlation between soil strength parameters is also considered in this paper. It is shown that considering practical values of cross correlation coefficient reduces the maximum probability of failure for both internal and external failure mechanisms.