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 …
Improved coupled Markov chain method for simulating geological uncertainty
Geological uncertainty is common in nature due to complex depositional processes as one
layer appears to be randomly embedded in neighbouring layers. However, the geo …
layer appears to be randomly embedded in neighbouring layers. However, the geo …
Undrained stability of braced excavations in clay considering the nonstationary random field of undrained shear strength
W Tanapalungkorn, W Yodsomjai… - Scientific Reports, 2023 - nature.com
The basal heave stability of supported excavations is an essential problem in geotechnical
engineering. This paper considers the probabilistic analysis of basal heave stability of …
engineering. This paper considers the probabilistic analysis of basal heave stability of …
An integrated machine learning framework with uncertainty quantification for three-dimensional lithological modeling from multi-source geophysical data and drilling …
Z Zhang, G Wang, EJM Carranza, C Liu, J Li, C Fu… - Engineering …, 2023 - Elsevier
Nowadays, it is commonplace for geological surveys to integrate multi-source geophysical
data and drilling data in order to construct three-dimensional (3D) lithological models. In this …
data and drilling data in order to construct three-dimensional (3D) lithological models. In this …
Optimization of site exploration program based on coupled characterization of stratigraphic and geo-properties uncertainties
Due to the inherent spatial variability of the geological bodies, limited boreholes
(constrained by budget), and data interpretation errors, the subsurface conditions (in terms …
(constrained by budget), and data interpretation errors, the subsurface conditions (in terms …
A rigorous random field-based framework for 3D stratigraphic uncertainty modelling
Sustainable development goals for site-specific and customized design have brought needs
to assess and quantify the stratigraphic uncertainty in three-dimensional (3D) modelling. The …
to assess and quantify the stratigraphic uncertainty in three-dimensional (3D) modelling. The …
[HTML][HTML] Rockhead profile simulation using an improved generation method of conditional random field
L Han, L Wang, W Zhang, B Geng, S Li - Journal of Rock Mechanics and …, 2022 - Elsevier
Rockhead profile is an important part of geological profiles and can have significant impacts
on some geotechnical engineering practice, and thus, it is necessary to establish a useful …
on some geotechnical engineering practice, and thus, it is necessary to establish a useful …
Assessment of reclamation-induced consolidation settlement considering stratigraphic uncertainty and spatial variability of soil properties
Consolidation analysis is a key task for reclamation design. Although consolidation is a long-
term process, acceleration of consolidation is often preferred for speeding up the …
term process, acceleration of consolidation is often preferred for speeding up the …
Stochastic stratigraphic modeling using Bayesian machine learning
Stratigraphic modeling with quantified uncertainty is an open question in engineering
geology. In this study, a novel stratigraphic stochastic simulation approach is developed by …
geology. In this study, a novel stratigraphic stochastic simulation approach is developed by …
Data-driven multi-stage sampling strategy for a three-dimensional geological domain using weighted centroidal voronoi tessellation and IC-XGBoost3D
Conventional site investigation schemes typically use an empirical sampling strategy, which
involves equal sampling spacing with regular grid patterns. However, this approach assigns …
involves equal sampling spacing with regular grid patterns. However, this approach assigns …