Reliability Analysis of Rock Wedge Stability: Knowledge-Based Clustered Partitioning Approach
Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 138, Issue 6
Abstract
In this paper a knowledge-based clustered partitioning technique is developed for determining reliability index and failure probability of rock wedge. Here, the a reliability index is analyzed and the optimization is carried out using a knowledge-based clustered partitioning (KCP) technique. The reliability index computed with this KCP technique is compared with those using other approaches such as the Excel Solver-based method. The new technique for determining the reliability index involves a global search method and is found effective and efficient. Reliability analysis with this KCP technique is then used to examine the influence of parameter uncertainties and correlations among the parameters on the failure probability of rock wedges. Significant findings are derived from the sensitivity and parametric analysis.
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Information & Authors
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Published In
Journal of Geotechnical and Geoenvironmental Engineering
Volume 138 • Issue 6 • June 2012
Pages: 700 - 708
Copyright
© 2012. American Society of Civil Engineers.
History
Received: Sep 4, 2009
Accepted: Aug 15, 2011
Published online: Aug 17, 2011
Published in print: Jun 1, 2012
Published ahead of production: Jun 15, 2012
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