Modeling 2-D spatial variation in slope reliability analysis using interpolated autocorrelations
This paper deals with slope reliability analysis incorporating two-dimensional spatial variation. Two methods, namely the method of autocorrelated slices and the method of interpolated autocorrelations, are proposed for this purpose. Investigations are carried out based on the limit equilibrium meth...
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sg-ntu-dr.10356-973912020-03-07T11:43:44Z Modeling 2-D spatial variation in slope reliability analysis using interpolated autocorrelations Liao, H. J. Ji, Jian Low, Bak Kong School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Geotechnical This paper deals with slope reliability analysis incorporating two-dimensional spatial variation. Two methods, namely the method of autocorrelated slices and the method of interpolated autocorrelations, are proposed for this purpose. Investigations are carried out based on the limit equilibrium method of slices. First-order-reliability-method (FORM) is coupled with deterministic slope stability analysis using the constrained optimization approach. Systematic search for the probabilistic critical slip surface has been carried out in this study. It is shown that both methods work well in modeling 2-D spatial variation. The results of slope reliability analysis are validated by Monte Carlo simulations. Failure probabilities obtained by FORM agree well with simulation results. It is found that 2-D spatial variation significantly influences the reliability analysis, and that the reliability index is more sensitive to vertical autocorrelation distance than to horizontal autocorrelation distance. Based on this study, failure probability is found significantly overestimated when spatial variation is ignored. Finally, the possible use of the method of interpolated autocorrelations in a probabilistic finite element analysis is suggested. 2013-06-28T07:29:53Z 2019-12-06T19:42:09Z 2013-06-28T07:29:53Z 2019-12-06T19:42:09Z 2012 2012 Journal Article Ji, J., Liao, H. J., & Low, B. K. (2012). Modeling 2-D spatial variation in slope reliability analysis using interpolated autocorrelations. Computers and Geotechnics, 40, 135-146. 0266-352X https://hdl.handle.net/10356/97391 http://hdl.handle.net/10220/10833 10.1016/j.compgeo.2011.11.002 en Computers and geotechnics © 2011 Elsevier Ltd. |
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DRNTU::Engineering::Civil engineering::Geotechnical Liao, H. J. Ji, Jian Low, Bak Kong Modeling 2-D spatial variation in slope reliability analysis using interpolated autocorrelations |
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This paper deals with slope reliability analysis incorporating two-dimensional spatial variation. Two methods, namely the method of autocorrelated slices and the method of interpolated autocorrelations, are proposed for this purpose. Investigations are carried out based on the limit equilibrium method of slices. First-order-reliability-method (FORM) is coupled with deterministic slope stability analysis using the constrained optimization approach. Systematic search for the probabilistic critical slip surface has been carried out in this study. It is shown that both methods work well in modeling 2-D spatial variation. The results of slope reliability analysis are validated by Monte Carlo simulations. Failure probabilities obtained by FORM agree well with simulation results. It is found that 2-D spatial variation significantly influences the reliability analysis, and that the reliability index is more sensitive to vertical autocorrelation distance than to horizontal autocorrelation distance. Based on this study, failure probability is found significantly overestimated when spatial variation is ignored. Finally, the possible use of the method of interpolated autocorrelations in a probabilistic finite element analysis is suggested. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Liao, H. J. Ji, Jian Low, Bak Kong |
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Article |
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Liao, H. J. Ji, Jian Low, Bak Kong |
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Liao, H. J. |
title |
Modeling 2-D spatial variation in slope reliability analysis using interpolated autocorrelations |
title_short |
Modeling 2-D spatial variation in slope reliability analysis using interpolated autocorrelations |
title_full |
Modeling 2-D spatial variation in slope reliability analysis using interpolated autocorrelations |
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Modeling 2-D spatial variation in slope reliability analysis using interpolated autocorrelations |
title_full_unstemmed |
Modeling 2-D spatial variation in slope reliability analysis using interpolated autocorrelations |
title_sort |
modeling 2-d spatial variation in slope reliability analysis using interpolated autocorrelations |
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2013 |
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https://hdl.handle.net/10356/97391 http://hdl.handle.net/10220/10833 |
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1681048639712002048 |