TY - JOUR
T1 - Efficient subset simulation for evaluating the modes of improbable slope failure
AU - van den Eijnden, A.P.
AU - Hicks, M.A.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - For analyzing low probability slope failures, a modified version of subset simulation, based on performance-based subset selection rather than the usual probability-based subset selection, is combined with the random finite element method. The application to an idealized slope is used to study the efficiency and consistency of the proposed method compared to classical Monte Carlo simulations and the shear strength reduction (SSR) method. Results demonstrate that failure events taking place without strength reduction have different modes of failure than stable slopes brought to failure by SSR. The correlation between sliding volume and factor of safety is also demonstrated.
AB - For analyzing low probability slope failures, a modified version of subset simulation, based on performance-based subset selection rather than the usual probability-based subset selection, is combined with the random finite element method. The application to an idealized slope is used to study the efficiency and consistency of the proposed method compared to classical Monte Carlo simulations and the shear strength reduction (SSR) method. Results demonstrate that failure events taking place without strength reduction have different modes of failure than stable slopes brought to failure by SSR. The correlation between sliding volume and factor of safety is also demonstrated.
KW - Mode of failure
KW - Random finite element method
KW - Slope reliability
KW - Subset simulation
UR - http://www.scopus.com/inward/record.url?scp=85017922921&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:d525a4ea-ed84-429c-8c0f-18020696c9c6
U2 - 10.1016/j.compgeo.2017.03.010
DO - 10.1016/j.compgeo.2017.03.010
M3 - Article
SN - 0266-352X
VL - 88
SP - 267
EP - 280
JO - Computers and Geotechnics
JF - Computers and Geotechnics
ER -