A method for slope stability analysis considering subsurface stratigraphic uncertainty
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[1] Stephen G. Evans,et al. Landslides and surficial deposits in urban areas of British Columbia: A review , 1982 .
[2] Michel Dekking,et al. A Markov Chain Model for Subsurface Characterization: Theory and Applications , 2001 .
[3] J. Chilès,et al. Geological modelling from field data and geological knowledge. Part I. Modelling method coupling 3D potential-field interpolation and geological rules , 2008 .
[4] Michael A. Hicks,et al. Influence of heterogeneity on 3D slope reliability and failure consequence , 2014 .
[5] F. Horowitz,et al. Towards incorporating uncertainty of structural data in 3D geological inversion , 2010 .
[6] Dian-Qing Li,et al. Efficient System Reliability Analysis of Slope Stability in Spatially Variable Soils Using Monte Carlo Simulation , 2015 .
[7] Jian Ji,et al. Modeling 2-D spatial variation in slope reliability analysis using interpolated autocorrelations , 2012 .
[8] K. Phoon,et al. Characterization of Geotechnical Variability , 1999 .
[9] Alfred Stein,et al. Quantification of the Effects of Land-Cover-Class Spectral Separability on the Accuracy of Markov-Random-Field-Based Superresolution Mapping , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[10] Gordon A. Fenton,et al. Probabilistic slope stability analysis by finite elements , 2004 .
[11] Gordon A. Fenton,et al. Influence of spatial variability on slope reliability using 2-D random fields. , 2009 .
[12] Antonio G. Chessa,et al. A Markov Chain Model for Subsurface Characterization: Theory and Applications , 2006 .
[13] Sung-Eun Cho. Probabilistic Assessment of Slope Stability That Considers the Spatial Variability of Soil Properties , 2010 .
[14] Jean-Laurent Mallet,et al. Discrete smooth interpolation , 1989, TOGS.
[15] Rick Chalaturnyk,et al. An overview of soil heterogeneity: quantification and implications on geotechnical field problems , 2003 .
[16] Stan Z. Li. Markov Random Field Modeling in Image Analysis , 2009, Advances in Pattern Recognition.
[17] Bernt J. Leira,et al. Efficient System Reliability Analysis by Finite Element Structural Models , 2011 .
[18] Dian-Qing Li,et al. A multiple response-surface method for slope reliability analysis considering spatial variability of soil properties , 2015 .
[19] J. Wellmann,et al. Uncertainties have a meaning: Information entropy as a quality measure for 3-D geological models , 2012 .
[20] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[21] Yuanchun Shi,et al. Markov-chain simulation of soil textural profiles , 1999 .
[22] Lars Rosén,et al. On Modelling Discrete Geological Structures as Markov Random Fields , 2002 .
[23] Robert Y. Liang,et al. Probabilistic analysis of shield-driven tunnel in multiple strata considering stratigraphic uncertainty , 2016 .
[24] K. Phoon,et al. Copula-based approaches for evaluating slope reliability under incomplete probability information , 2015 .
[25] Juliet Mian,et al. Risk Assessment in Geotechnical Engineering Practice , 2017 .
[26] Dian-Qing Li,et al. Evaluating slope stability uncertainty using coupled Markov chain , 2016 .
[27] Weidong Li,et al. A Fixed-Path Markov Chain Algorithm for Conditional Simulation of Discrete Spatial Variables , 2007 .
[28] G. Fogg,et al. Modeling Spatial Variability with One and Multidimensional Continuous-Lag Markov Chains , 1997 .
[29] A. Drescher,et al. Slope stability analysis by strength reduction , 1999 .
[30] Sung-Eun Cho,et al. Effects of spatial variability of soil properties on slope stability , 2007 .
[31] F. Y. Wu. The Potts model , 1982 .
[32] S. Auerbach,et al. Computer-aided geometric design of geologic surfaces and bodies , 1990 .
[33] Peter Clifford,et al. Markov Random Fields in Statistics , 2012 .
[34] Robert Y. Liang,et al. Quantifying stratigraphic uncertainties by stochastic simulation techniques based on Markov random field , 2016 .
[35] G. Fogg,et al. Transition probability-based indicator geostatistics , 1996 .
[36] Hui Wang,et al. A Segmentation Approach for Stochastic Geological Modeling Using Hidden Markov Random Fields , 2017, Mathematical Geosciences.
[37] Steven F. Carle,et al. Three‐dimensional hydrofacies modeling based on soil surveys and transition probability geostatistics , 1999 .
[38] Zhenxue Dai,et al. Improving permeability semivariograms with transition probability models of hierarchical sedimentary architecture derived from outcrop analog studies , 2005 .
[39] J. Chilès,et al. The Channel Tunnel: Geostatistical prediction of the geological conditions and its validation by the reality , 1993 .
[40] Dongbin Zhao,et al. A Segmentation Approach for Natural Images , 2006 .
[41] Donald Geman,et al. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .
[42] D. V. Griffiths,et al. Risk Assessment in Geotechnical Engineering , 2008 .
[43] G. Casella,et al. Explaining the Gibbs Sampler , 1992 .