Stochastic simulation of geological cross-sections from boreholes: A random field approach with Markov Chain Monte Carlo method

HQ Yang, J Chu, X Qi, S Wu, K Chiam - Engineering Geology, 2023 - Elsevier
A reliable geological cross-section is essential to the design and risk assessment of
underground structures. Random fields are commonly employed to model geological …

[HTML][HTML] Regional 3D geological modeling along metro lines based on stacking ensemble model

X Bian, Z Fan, J Liu, X Li, P Zhao - Underground Space, 2024 - Elsevier
This paper presents a regional 3D geological modeling method based on the stacking
ensemble technique to overcome the challenges of sparse borehole data in large-scale …

Spatial variability characterization of clayey waste soils and its impact on probabilistic stability assessment of a landfill slope

S Wang, T **ao, G Li, Y Lv, C Dai, L Zhan, Y Chen… - Acta Geotechnica, 2024 - Springer
Rapid urbanization has caused numerous construction solid waste landfills. Few studies
have explored the impact of multi-source waste soils with remarkable spatial variability on …

An ensemble learning paradigm for subsurface stratigraphy from sparse measurements and augmented training images

C Shi, Y Wang, HQ Yang - Tunnelling and Underground Space Technology, 2024 - Elsevier
The performance of computer vision-based techniques for stratigraphic modeling relies
heavily on qualified training images to capture the complex stratigraphic connectivity. In …

Advancing geological modelling and geodata management: a web-based system with AI assessment in Singapore

HQ Yang, J Chu, S Wu, X Zhu, X Qi… - … and Management of …, 2024 - Taylor & Francis
This paper outlines the development and deployment of the Geodata Modelling and
Management System (GEM2S) in Singapore. GEM2S offers a sophisticated web-based …

Data-driven sparse learning of three-dimensional subsurface properties incorporating random field theory

W Chen, C Shi, J Ding, T Wang, DP Connolly - Engineering Geology, 2025 - Elsevier
Geotechnical engineers rely on accurate soil property information for engineering analyses.
However, it is challenging for spatial learning of soil attributes because in-situ geotechnical …

A flexible and efficient model coupling multi-type data for 2D/3D stratigraphic modeling

W Yan, Z Guan, WH Zhou, P Shen - Bulletin of Engineering Geology and …, 2024 - Springer
Stratigraphic modeling plays a critical role in characterizing subsurface conditions, while it
faces significant uncertainty due to geological heterogeneity and sparse borehole data …

Integrated geophysical data and Bayesian evidential learning approach for rockhead estimation and uncertainty quantification

Y Zhang, J Chu, HQ Yang, S Wu, Y Zhang, K Chiam - Engineering Geology, 2025 - Elsevier
Rockhead estimation and uncertainty quantification are essential for underground
constructions such as tunneling. However, deep boreholes that are required for rockhead …