Please use this identifier to cite or link to this item:
|Title:||Efficient evaluation of reliability for slopes with circular slip surfaces using importance sampling|
|Keywords:||Monte Carlo method|
|Citation:||Ching, J., Phoon, K.-K., Hu, Y.-G. (2009). Efficient evaluation of reliability for slopes with circular slip surfaces using importance sampling. Journal of Geotechnical and Geoenvironmental Engineering 135 (6) : 768-777. ScholarBank@NUS Repository. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000035|
|Abstract:||Evaluating the reliability of a slope is a challenging task because the possible slip surface is not known beforehand. Approximate methods via the first-order reliability method provide efficient ways of evaluating failure probability of the "most probable" failure surface. The tradeoff is that the failure probability estimates may be biased towards the unconservative side. The Monte Carlo simulation (MCS) is a viable unbiased way of estimating the failure probability of a slope, but MCS is inefficient for problems with small failure probabilities. This study proposes a novel way based on the importance sampling technique of estimating slope reliability that is unbiased and yet is much more efficient than MCS. In particular, the critical issue of the specification of the importance sampling probability density function will be addressed in detail. Three examples of slope reliability will be used to demonstrate the performance of the new method. © ASCE 2009.|
|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 Sep 20, 2018
WEB OF SCIENCETM
checked on Sep 5, 2018
checked on Jun 15, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.