https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34999 Wed 29 May 2019 11:40:51 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54497 Tue 27 Feb 2024 15:18:22 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24969 f, is low (e.g., p_f<10^-6). Based on the multiple response surfaces and Subset simulation, this paper proposes an efficient approach for the estimating of small probabilities of slope failure in spatially variable soils. An improved Cholesky decomposition technique is presented for the simulation of the globally non-stationary random fields of spatially variable soil properties in the multiple soil layers. Two slope examples are investigated to demonstrate the effectiveness of the proposed method. The efficiency of the proposed approach for parametric sensitivity analysis is also highlighted.]]> Sat 24 Mar 2018 07:09:58 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35937 Fri 26 Jun 2020 10:01:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46102 Fri 11 Nov 2022 10:06:06 AEDT ]]>