TY - JOUR
T1 - Reliability-based assessment of stability of slopes
AU - Hsein Juang, C.
AU - Zhang, Jie
AU - Gong, Wenping
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2015/9/9
Y1 - 2015/9/9
N2 - Multiple sources of uncertainties often exist in the evaluation of slope stability. When assessing stability of slopes in the face of uncertainties, it is desirable, and sometimes necessary, to adopt reliability-based approaches that consider these uncertainties explicitly. This paper focuses on the practical procedures developed recently for the reliability-based assessment of slope stability. The statistical characterization of model uncertainty and parameter uncertainty are first described, followed by an evaluation of the failure probability of a slope corresponding to a single slip surface, and the system failure probability. The availability of site-specific information then makes it possible to update the reliability of the slope through the Bayes' theorem. Furthermore, how to perform reliability-based design when the statistics of random variables cannot be determined accurately is also discussed. Finally, case studies are presented to illustrate the benefit of performing reliability-based design and the procedure for conducting reliability-based robust design when the statistics of the random variables are incomplete.
AB - Multiple sources of uncertainties often exist in the evaluation of slope stability. When assessing stability of slopes in the face of uncertainties, it is desirable, and sometimes necessary, to adopt reliability-based approaches that consider these uncertainties explicitly. This paper focuses on the practical procedures developed recently for the reliability-based assessment of slope stability. The statistical characterization of model uncertainty and parameter uncertainty are first described, followed by an evaluation of the failure probability of a slope corresponding to a single slip surface, and the system failure probability. The availability of site-specific information then makes it possible to update the reliability of the slope through the Bayes' theorem. Furthermore, how to perform reliability-based design when the statistics of random variables cannot be determined accurately is also discussed. Finally, case studies are presented to illustrate the benefit of performing reliability-based design and the procedure for conducting reliability-based robust design when the statistics of the random variables are incomplete.
UR - http://www.scopus.com/inward/record.url?scp=84946595248&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/26/1/012006
DO - 10.1088/1755-1315/26/1/012006
M3 - 會議論文
AN - SCOPUS:84946595248
SN - 1755-1307
VL - 26
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012006
T2 - International Symposium on Geohazards and Geomechanics, ISGG 2015
Y2 - 10 September 2015 through 11 September 2015
ER -