摘要：AbstractTo meet the high demand for reliability based design of slopes, we present in this paper a simplifiedHLRF(Hasofer–Lind–Rackwitz–Fiessler) iterative algorithm for first-order reliability method (FORM). It is simply formulated inx-space and requires neither transformation of correlated random variables nor optimization tools. The solution can be easily improved by iteratively adjusting the step length. The algorithm is particularly useful to practicing engineers for geotechnical reliability analysis where standalone (deterministic) numerical packages are used. Based on the proposed algorithm and through direct perturbation analysis of random variables, we conducted a case study of earth slope reliability with complete consideration of soil uncertainty and spatial variability.Graphical abstractDisplay OmittedHighlights•An improved HLRF algorithm reformulated in the original space.•Case study of slope reliability analysis.•Spatial variability modelling based on in-situ shear strength.
关键词：KeywordsenSlope stabilitySpatial variabilityRandom field modelProbability of failureHLRFalgorithmFirst-order reliability method (FORM)
