Coupled characterization of stratigraphic and geo-properties uncertainties–a conditional random field approach
Site characterization, which aims to characterize the subsurface stratigraphic configuration
and the associated geo-properties, has long been a significant challenge in geological and …
and the associated geo-properties, has long been a significant challenge in geological and …
First order reliability-based design optimization of 3D pile-reinforced slopes with Pareto optimality
As verified structures for landslide mitigation, stabilizing piles are often adopted to treat local
failure zones of width-limited soil slopes. To achieve a balance between slope safety and …
failure zones of width-limited soil slopes. To achieve a balance between slope safety and …
Optimization of site investigation program for reliability assessment of undrained slope using Spearman rank correlation coefficient
Site investigation programs (eg, boreholes) are crucial in characterizing soil properties and
stratigraphic configurations. However, the traditional borehole patterns are generally of …
stratigraphic configurations. However, the traditional borehole patterns are generally of …
Stratigraphic uncertainty modelling with random field approach
Due to the complexity and inherent spatial variability of the strata and the limited availability
of borehole information, the subsurface stratigraphic configuration at a site is hard to …
of borehole information, the subsurface stratigraphic configuration at a site is hard to …
Probabilistic characterization of subsurface stratigraphic configuration with modified random field approach
Accurate and precise characterization of the subsurface stratigraphic configuration
(geological model) at a given site is crucial to geotechnical engineering work. The …
(geological model) at a given site is crucial to geotechnical engineering work. The …
Slope stability machine learning predictions on spatially variable random fields with and without factor of safety calculations
Abstract Random field Monte Carlo (MC) reliability analysis is a robust stochastic method to
determine the probability of failure. This method, however, requires a large number of …
determine the probability of failure. This method, however, requires a large number of …
Active learning relevant vector machine for reliability analysis
In this study, an adaptive relevant vector machine, which is developed within a probabilistic
Bayesian learning framework, is combined with Monte Carlo simulation (MCS) to perform …
Bayesian learning framework, is combined with Monte Carlo simulation (MCS) to perform …
Determination of seismic response of reinforced tunnel portal slope using shaking table tests
Q Wang, P Geng, C Chen, J Chen, C He - Tunnelling and Underground …, 2023 - Elsevier
The tunnel portal is a seismically weak part of the tunnel. To improve the seismic
performance of the tunnel portal, reliable portal slope reinforcement measures were …
performance of the tunnel portal, reliable portal slope reinforcement measures were …
Reliability analysis of pile stabilized earth slopes using weighted uniform simulation method
The finite element method (FEM) is now widely used for stability analysis of earth slopes
reinforced with stabilizing piles for the advantages of better simulation of soil–pile interactive …
reinforced with stabilizing piles for the advantages of better simulation of soil–pile interactive …
Modeling spatial variability of mechanical parameters of layered rock masses and its application in slope optimization at the open-pit mine
J Li, T Yang, F Liu, Y Zhao, H Liu, W Deng… - International Journal of …, 2024 - Elsevier
Mining engineering with layered structures often obtains extensive geological data to ensure
reliability of mining operations. Effectively utilizing these data to characterize the spatial …
reliability of mining operations. Effectively utilizing these data to characterize the spatial …