https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38139 Wed 04 Aug 2021 15:42:39 AEST ]]> Experimental investigation on the seismically induced cumulative damage and progressive deformation of the 2017 Xinmo landslide in China https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46297 Tue 05 Sep 2023 15:06:29 AEST ]]> A computationally efficient system for assessing near-real-time instability of regional unsaturated soil slopes under rainfall https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38056 Thu 29 Jul 2021 11:29:44 AEST ]]> Seismic wave propagation characteristic and its effects on the failure of steep jointed anti-dip rock slope https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47932 Thu 09 Feb 2023 13:44:55 AEDT ]]> On the efficient estimation of small failure probability in slopes https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31039 pf) is small, the direct Monte Carlo simulation requires a large number of simulations. Subset simulation is one of most efficient variance reduction techniques for the simulation of small pf. It has been recently proposed to use subset simulation instead of direct Monte Carlo simulation in RFEM. It is noted, however, that subset simulation requires calculation of the factor of safety (FS), while direct Monte Carlo requires only the examination of failure or non-failure. The search for the FS in RFEM could be a tedious task. For example, the search for the FS of slope stability by the strength reduction method (SRM) usually requires much more computational time than a failure or non-failure checking. In this paper, the subset simulation is combined with RFEM, but the need for the search of FS is eliminated. The value of yield function in an elastoplastic finite element analysis is used to measure the safety margin instead of the FS. Numerical experiments show that the proposed approach gives the same level of accuracy as the traditional subset simulation based on FS, but the computational time is significantly reduced. Although only examples of slope stability are given, the proposed approach will generally work for other types of geotechnical applications.]]> Sat 24 Mar 2018 07:25:48 AEDT ]]> Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40727 Mon 18 Jul 2022 11:41:20 AEST ]]> Bayesian back analysis of landslides considering slip surface uncertainty https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44600 Mon 17 Oct 2022 16:24:24 AEDT ]]> Global sensitivity analysis of the hydraulic parameters of the reservoir colluvial landslides in the Three Gorges Reservoir area, China https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40017 Mon 04 Jul 2022 09:08:32 AEST ]]> Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40337 Fri 08 Jul 2022 10:05:34 AEST ]]>