@inproceedings{4ae5fbfc55984f9485a6d9e70483de99,
title = "Slope reliability analysis using random field numerical limit analyses",
abstract = "This paper presents a probabilistic approach to evaluating the geotechnical stability problem by incorporating the stochastic spatial variability of soil property within the numerical limit analyses. The undrained shear strength and unit weight of soil are treated as a random field which is characterized by a lognormal distribution and a spatial correlation length. The current calculations use a Cholesky Decomposition technique to incorporate these random properties in numerical limit analyses. The Random Field Numerical Limit Analyses are applied to evaluate effects of spatial variability of soil property on the slope stability and the failure mechanism. Monte Carlo iterations are then used to interpret the failure probability of slope for selected ranges of the coefficient of variation in soil property and the ratio of correlation length to slope height. Finally, the variation of slope failure mode is examined in terms of the variability of safety factor of slope failure.",
author = "K. Kasama and Whittle, {Andrew J.}",
year = "2015",
doi = "10.1201/b17435-226",
language = "English",
isbn = "9781138001480",
series = "Computer Methods and Recent Advances in Geomechanics - Proceedings of the 14th Int. Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014",
publisher = "Taylor and Francis - Balkema",
pages = "1283--1288",
booktitle = "Computer Methods and Recent Advances in Geomechanics - Proc. of the 14th International Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014",
note = "14th International Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014 ; Conference date: 22-09-2014 Through 25-09-2014",
}