Comprehensive multivariate joint distribution model for marine soft soil based on the vine copula
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 …
vine copula function. The model is based on detailed investigation data from a tunnel …
Influence of geological uncertainty and soil spatial variability on tunnel deformation and their importance evaluation
In geotechnical engineering, geological uncertainty and the inherent spatial variability of soil
properties are two primary sources of uncertainty, significantly impacting embedded geo …
properties are two primary sources of uncertainty, significantly impacting embedded geo …
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 …
An integrated machine learning framework with uncertainty quantification for three-dimensional lithological modeling from multi-source geophysical data and drilling …
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] Probabilistic analysis of tunnel face seismic stability in layered rock masses using polynomial Chaos Kriging metamodel
Face stability is an essential issue in tunnel design and construction. Layered rock masses
are typical and ubiquitous; uncertainties in rock properties always exist. In view of this, a …
are typical and ubiquitous; uncertainties in rock properties always exist. In view of this, a …
Variations of entries and bolting technologies, a case study based on a field monitoring of a longwall face
F Guo, N Zhang, X Feng, Z **e, C Han, Y Li, Q Chen… - Engineering …, 2024 - Elsevier
Roadways adjacent to a mining face are crucial for ensuring safe production, transportation,
and the security of personnel. Nevertheless, the anchoring mechanisms and the integrity of …
and the security of personnel. Nevertheless, the anchoring mechanisms and the integrity of …
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 …
Influence of data quality on the performance of supervised classification models for predicting gravelly soil liquefaction
J Hu, J Wang - Engineering Geology, 2023 - Elsevier
Data quality greatly affects the performance of machine learning models for predicting
gravelly soil liquefaction. Therefore, this study quantifies the impact of data quality …
gravelly soil liquefaction. Therefore, this study quantifies the impact of data quality …