Journal ArticleDOI
Quantitative risk assessment of landslide by limit analysis and random fields
Jinsong Huang,Andrei V. Lyamin,D. V. Griffiths,D. V. Griffiths,Kristian Krabbenhoft,Scott W. Sloan +5 more
TLDR
In this article, a new framework of quantitative landslide risk assessment, in which consequences are assessed individually, is proposed, which is generally applicable, and the landslide risk assessments of two typical slopes are presented.About:
This article is published in Computers and Geotechnics.The article was published on 2013-09-01. It has received 174 citations till now. The article focuses on the topics: Landslide & Risk assessment.read more
Citations
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Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Journal ArticleDOI
Response surface methods for slope reliability analysis: Review and comparison
TL;DR: In this article, the authors reviewed previous studies on developments and applications of response surface methods (RSMs) in different slope reliability problems and provided some suggestions for selecting relatively appropriate RSMs in slope reliability analysis.
Journal ArticleDOI
Enhancement of random finite element method in reliability analysis and risk assessment of soil slopes using Subset Simulation
TL;DR: In this paper, the authors integrated the random finite element method with an advanced Monte Carlo simulation (MCS) method called Subset Simulation (SS) to develop an efficient RFEM (i.e., SS-based RFEM) for reliability analysis and risk assessment of soil slopes.
Journal ArticleDOI
Efficient slope reliability analysis at low-probability levels in spatially variable soils
TL;DR: In this paper, 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.
Journal ArticleDOI
Probabilistic stability analysis of rainfall-induced landslides considering spatial variability of permeability
TL;DR: In this paper, a series of seepage and stability analyses of an infinite slope based on one-dimensional random fields were performed to study the effects of uncertainty due to the spatial heterogeneity of hydraulic conductivity on the failure of unsaturated slopes due to rainfall infiltration.
References
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Book
Pattern Recognition and Machine Learning
TL;DR: Probability Distributions, linear models for Regression, Linear Models for Classification, Neural Networks, Graphical Models, Mixture Models and EM, Sampling Methods, Continuous Latent Variables, Sequential Data are studied.
Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Journal ArticleDOI
Factors of safety and reliability in geotechnical engineering
TL;DR: In this paper, simple reliability analyses, involving neither complex theory nor unfamiliar terms, can be used in routine geotechnical engineering practice to evaluate the combined effects of uncertainties in the parameters involved in the calculations, and they offer a useful supplement to conventional analyses.
Journal ArticleDOI
Probabilistic slope stability analysis by finite elements
D. V. Griffiths,Gordon A. Fenton +1 more
TL;DR: In this paper, the authors investigated the probability of failure of a cohesive slope using both simple and more advanced probabilistic analysis tools, and concluded that simplified probabilism, in which spatial variability is ignored by assuming perfect correlation, can lead to unconservative estimates of the failure probability.
Journal ArticleDOI
Lower bound limit analysis using finite elements and linear programming
TL;DR: In this article, a technique for computing lower bound limit loads in soil mechanics under conditions of plane strain is described, where a perfectly plastic soil model is assumed, which may be either purely cohesive or cohesive-frictional, together with an associated flow rule.