Please use this identifier to cite or link to this item:
|Title:||Application of the kriging-based response surface method to the system reliability of soil slopes|
|Source:||Zhang, J., Huang, H.W., Phoon, K.K. (2013). Application of the kriging-based response surface method to the system reliability of soil slopes. Journal of Geotechnical and Geoenvironmental Engineering 139 (4) : 651-655. ScholarBank@NUS Repository. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000801|
|Abstract:||Response surface methods (RSMs) are attractive approaches for slope reliability analysis because such methods can integrate deterministic numerical slope stability evaluation and reliability analysis. For a slope in layered soils, its performance function is generally nonlinear and the system failure probability could be larger than the failure probability of the most critical slip surface. In this study, the applicability of the kriging-based RSM for system reliability of soil slopes is assessed through its application to two slopes with obvious system effects. It is found that the kriging method combined with Monte Carlo simulation (MCS) can deliver accurate system failure probability estimation. For comparison, the classical RSM based on the iterative local approximation of the performance function may fail to detect the most critical slip surface. The classical RSM can only calculate the failure probability of one slip surface even if the first-order reliability method or MCSis used. Even when the same calibration samples are used, the second-order polynomial-basedRSMis not as accurate as the kriging-based RSM. The results in this study show that the kriging-based RSM is an advantageous and promising approach for calculating the system reliability of soil slopes. © 2013 American Society of Civil Engineers.|
|Source Title:||Journal of Geotechnical and Geoenvironmental Engineering|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 27, 2018
WEB OF SCIENCETM
checked on Feb 14, 2018
checked on Mar 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.