https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Slope Unit Extraction and Landslide Susceptibility Prediction Using Multi-scale Segmentation Method https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52061 Wed 27 Sep 2023 15:29:29 AEST ]]> 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 ]]> Effects of different landslide boundaries and their spatial shapes on the uncertainty of landslide susceptibility prediction https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48954 Tue 18 Apr 2023 14:24:59 AEST ]]> Uncertainties of landslide susceptibility prediction due to different spatial resolutions and different proportions of training and testing datasets https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43831 Tue 04 Oct 2022 11:32:38 AEDT ]]> Landslide susceptibility prediction using an incremental learning Bayesian Network model considering the continuously updated landslide inventories https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52223 Thu 05 Oct 2023 10:30:27 AEDT ]]> Landslide displacement prediction based on multivariate chaotic model and extreme learning machine https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31509 Sat 24 Mar 2018 08:44:16 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 using slope unit-based machine learning models considering the heterogeneity of conditioning factors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44841 Mon 24 Oct 2022 10:13:38 AEDT ]]> Updating reliability of single piles and pile groups by load tests https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30016 Mon 23 Sep 2019 12:00:27 AEST ]]> Uncertainties of landslide susceptibility prediction considering different landslide types https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53895 Mon 22 Jan 2024 14:57:21 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 ]]> Prediction of groundwater levels using evidence of chaos and support vector machine https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34441 Mon 11 Mar 2019 13:37:22 AEDT ]]> Logistic Regression Fitting of Rainfall-Induced Landslide Occurrence Probability and Continuous Landslide Hazard Prediction Modelling https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53081 Fri 17 Nov 2023 11:34:02 AEDT ]]> The uncertainty of landslide susceptibility prediction modeling: suitability of linear conditioning factors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51751 Fri 15 Sep 2023 18:21:41 AEST ]]> Experimental study of the failure mode and mechanism of loess fill slopes induced by rainfall https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49431 Fri 12 May 2023 15:37:06 AEST ]]>