Influence of spatial variability on rock slope reliability using 1-D random fields
Date Issued
2015
DOI
10.1007/978-3-319-09057-3_216
Abstract
In this work, the theory of random fields is used to account for the influence of spatial
variability on slope reliability. Within this framework the friction coefficient along a
discontinuity is treated as a Gaussian random field which is fully described by its mean value,
standard deviation and spatial correlation length. The random field is simulated using the
Local Average Subdivision (LAS) method. As shown by the examples presented herein, the
spatial correlation of shear strength along a failure plane can have an important influence on
slope performance, as expressed by the failure probability. This is a significant observation
since ignoring the influence of spatial correlation in design may lead to non-conservative
estimations of slope reliability. The planar mode of failure is considered.
variability on slope reliability. Within this framework the friction coefficient along a
discontinuity is treated as a Gaussian random field which is fully described by its mean value,
standard deviation and spatial correlation length. The random field is simulated using the
Local Average Subdivision (LAS) method. As shown by the examples presented herein, the
spatial correlation of shear strength along a failure plane can have an important influence on
slope performance, as expressed by the failure probability. This is a significant observation
since ignoring the influence of spatial correlation in design may lead to non-conservative
estimations of slope reliability. The planar mode of failure is considered.