Probabilistic stability analysis of earth dam slope under transient seepage using multivariate adaptive regression splines

L Wang, C Wu, X Gu, H Liu, G Mei, W Zhang - Bulletin of Engineering …, 2020 - Springer
Earth dams are widespread throughout the world and their safety has gained increasing
concern from geotechnical engineering societies. Although probabilistic stability analysis …

SS-XGBoost: a machine learning framework for predicting newmark sliding displacements of slopes

MX Wang, D Huang, G Wang, DQ Li - Journal of Geotechnical and …, 2020 - ascelibrary.org
Estimation of Newmark sliding displacement plays an important role for evaluating seismic
stability of slopes. Current empirical models generally utilize predefined functional forms and …

On the use of copulas in geotechnical engineering: A tutorial and state-of-the-art-review

JJ Sepúlveda-García, DA Alvarez - Archives of computational methods in …, 2022 - Springer
Copulas are functions that couple marginal distribution in order to generate joint probability
distribution functions; in this way, they model the dependence among random variables …

Probabilistic analysis of rainfall-induced shallow landslide susceptibility using a physically based model and the bootstrap method

IT Hwang, HJ Park, JH Lee - Landslides, 2023 - Springer
Physically based landslide susceptibility analysis is widely used for landslide prediction
owing to its high predictive capability. However, due to limited information and the spatial …

3D DEM insights into the effect of particle overall regularity on macro and micro mechanical behaviours of dense sands

JY Nie, ZJ Cao, DQ Li, YF Cui - Computers and Geotechnics, 2021 - Elsevier
Particle shape affects the mechanical properties of sands, but the underlying micro-
mechanisms are not yet explored, at least partially, due to difficulties in accessing the …

Probabilistic stability analyses of multi-stage soil slopes by bivariate random fields and finite element methods

MY Wang, Y Liu, YN Ding, BL Yi - Computers and Geotechnics, 2020 - Elsevier
This study aimed to investigate the stability of multi-stage drained and undrained slopes
considering the spatial variability in soil properties. A bivariate random field was adopted to …

A maximum entropy method using fractional moments and deep learning for geotechnical reliability analysis

ZZ Wang, SH Goh - Acta Geotechnica, 2022 - Springer
The spatial variability of the properties of natural soils is one of the major sources of
uncertainties that can influence the performance of geotechnical structures. The direct Monte …

Modeling multivariate cross-correlated geotechnical random fields using vine copulas for slope reliability analysis

XS Tang, MX Wang, DQ Li - Computers and Geotechnics, 2020 - Elsevier
Modeling multivariate cross-correlated random fields plays an important role in reliability
analysis of geotechnical systems. The cross-correlation among random fields is commonly …

Uncertainty quantification of landslide runout motion considering soil interdependent anisotropy and fabric orientation

G Ma, M Rezania, M Mousavi Nezhad, X Hu - Landslides, 2022 - Springer
Natural soils often exhibit an anisotropic fabric pattern as a result of soil deposition,
weathering, or filling. This paper aims to investigate the effect of soil interdependent …

Influence of copula approaches on reliability analysis of slope stability using random adaptive finite element limit analysis

TS Nguyen, S Likitlersuang… - … for Numerical and …, 2022 - Wiley Online Library
Recently, random field copulas have been deployed to characterise the dependent
structures of spatially variable soil parameters. This study expands on this concept by …