[HTML][HTML] Geotechnical uncertainty, modeling, and decision making

KK Phoon, ZJ Cao, J Ji, YF Leung, S Najjar… - Soils and …, 2022 - Elsevier
Modeling only constitutes one aspect of decision making. The prevailing limitation of
applying modeling to practice is the absence of explicit consideration of uncertainties. This …

Advances in reliability and risk analyses of slopes in spatially variable soils: A state-of-the-art review

SH Jiang, J Huang, DV Griffiths, ZP Deng - Computers and Geotechnics, 2022 - Elsevier
Spatial variability of soil properties was rarely taken into account directly in traditional slope
stability analyses, rather some “average” or suitably “pessimistic” properties are assumed to …

Comprehensive multivariate joint distribution model for marine soft soil based on the vine copula

X Bao, J Li, J Shen, X Chen, C Zhang, H Cui - Computers and Geotechnics, 2025 - Elsevier
In this study, we propose a multivariate joint distribution model for marine soft soil using D-
vine copula function. The model is based on detailed investigation data from a tunnel …

Estimation of trend and random components of conditional random field using Gaussian process regression

I Yoshida, Y Tomizawa, Y Otake - Computers and Geotechnics, 2021 - Elsevier
A method is proposed for simultaneously estimating the trend and random component of soil
properties at arbitrary locations using Gaussian process regression with the superposition of …

Optimization of site investigation program for reliability assessment of undrained slope using Spearman rank correlation coefficient

L Zhang, L Wang - Computers and Geotechnics, 2023 - Elsevier
Site investigation programs (eg, boreholes) are crucial in characterizing soil properties and
stratigraphic configurations. However, the traditional borehole patterns are generally of …

[HTML][HTML] Modelling of spatial variability of soil undrained shear strength by conditional random fields for slope reliability analysis

SH Jiang, J Huang, F Huang, J Yang, C Yao… - Applied Mathematical …, 2018 - Elsevier
Conditional random field model can make best use of limited site investigation data to
properly characterize the spatial variation of soil properties. This paper aims to propose a …

Slope displacement reliability analysis considering rock parameters spatial variability subjected to stochastic mainshock-aftershock earthquake

R Pang, H Yao, M Xu, Y Zhou - Reliability Engineering & System Safety, 2024 - Elsevier
A new and efficient framework for analyzing the stochastic dynamic response and reliability
of the rock slope was constructed based on the generalized probability density evolution …

Efficient probabilistic back analysis of spatially varying soil parameters for slope reliability assessment

SH Jiang, J Huang, XH Qi, CB Zhou - Engineering Geology, 2020 - Elsevier
The probability distributions of soil parameters can be updated with limited site-specific
information via probabilistic back analyses. The updated probability distributions can be …

Development of a slope digital twin for predicting temporal variation of rainfall-induced slope instability using past slope performance records and monitoring data

X Liu, Y Wang, RCH Koo, JSH Kwan - Engineering Geology, 2022 - Elsevier
A slope digital twin is a virtual slope model that is able to continuously, even in real-time,
learn from actual observations (eg, monitoring data, slope performance records, and site …

Probabilistic assessment on 3D stability and failure mechanism of undrained slopes based on the kinematic approach of limit analysis

S Shu, B Ge, Y Wu, F Zhang - International Journal of …, 2023 - ascelibrary.org
Most slope collapses have three-dimensional (3D) characteristics due to the uniform soil.
The traditional plane-strain analyses neglect the 3D effects and could yield an …