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Effect of 2D spatial variability on slope reliability: A simplified FORM analysis.

Authors :
Ji, Jian
Zhang, Chunshun
Gao, Yufeng
Kodikara, Jayantha
Source :
Geoscience Frontiers; Nov2018, Vol. 9 Issue 6, p1631-1638, 8p
Publication Year :
2018

Abstract

Abstract To meet the high demand for reliability based design of slopes, we present in this paper a simplified HLRF (Hasofer–Lind–Rackwitz–Fiessler) iterative algorithm for first-order reliability method (FORM). It is simply formulated in x -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 abstract Image 1 Highlights • An improved HLRF algorithm reformulated in the original space. • Case study of slope reliability analysis. • Spatial variability modelling based on in-situ shear strength. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16749871
Volume :
9
Issue :
6
Database :
Supplemental Index
Journal :
Geoscience Frontiers
Publication Type :
Academic Journal
Accession number :
132149263
Full Text :
https://doi.org/10.1016/j.gsf.2017.08.004