Soil property recovery from incomplete in-situ geotechnical test data using a hybrid deep generative framework

W Chen, J Ding, T Wang, DP Connolly, X Wan - Engineering Geology, 2023 - Elsevier
Geotechnical testing serves to assess the strength and stiffness of in-situ soils, for purposes
such as informing foundation design. Despite its importance, time constraints, financial …

[HTML][HTML] Multi-hazard meteorological disaster risk assessment for agriculture based on historical disaster data in Jilin Province, China

J Zhang, J Wang, S Chen, S Tang, W Zhao - Sustainability, 2022 - mdpi.com
The impact of global climate change is gradually intensifying, and the frequent occurrence of
meteorological disasters poses a serious challenge to crop production. Analyzing and …

[HTML][HTML] Multivariate copula-based framework for stochastic analysis of landslide runout distance

G Ma, M Rezania, MM Nezhad, KK Phoon - Reliability Engineering & …, 2024 - Elsevier
The increasing frequency of landslide disasters worldwide highlights the importance of
accurate prediction of post-failure runout distances for effective risk management. However …

Geotechnical correlation field-informed and data-driven prediction of spatially varying geotechnical properties

W Chen, J Ding, C Shi, T Wang, DP Connolly - Computers and Geotechnics, 2024 - Elsevier
Geotechnical measurements are often limited, leading to the use of interpolation techniques
for interpreting spatial variations in geotechnical properties from sparse geo-data …

Probabilistic stability analyses of the landslide-stabilizing piles system considering the spatial variability of geotechnical parameters

X Wang, X Hu, C Xu, C Liu, L Niu, J Wang - Bulletin of Engineering …, 2024 - Springer
In the reliability analysis of the landslide-stabilizing piles system (LSP), the most commonly
used uncertainty models of geotechnical parameters mainly include the homogeneity model …

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 …

Defects in filament wound composite products: experimental and numerical quantification of fibre misalignment and voids

Y Zhao, SV Lomov, D Vandepitte - 2023 - lirias.kuleuven.be
In my research, defects, mechanical behaviour and their correlation will be investigated with
corresponding techniques and methods. Defects in composites always have a negative …

A hyperbolic–elliptic PDE model and conservative numerical method for gravity-dominated variably-saturated groundwater flow

MA Shadab, MA Hesse - Advances in Water Resources, 2024 - Elsevier
Richards equation is often used to represent two-phase fluid flow in an unsaturated porous
medium when one phase is much heavier and more viscous than the other. However, it …

Influence of soil parameter spatial variability on railway loess-filled embankment settlement

Y Zhang, Y Zhang, X Wang, H Zhu, C Guo - Bulletin of Engineering …, 2024 - Springer
This study involved an embankment settlement analysis of a case study of the railway loess-
filled embankment section of the Baozhong railway in Guyuan, China. The two-dimensional …

Uncertainties consideration in elastically heterogeneous fluid-saturated media using first-order second moment stochastic method and Green's function approach

LC Mesquita, ED Sotelino, ML Peres - Applied Mathematical Modelling, 2023 - Elsevier
The present work proposes a stochastic statistical method, called Green-FOSM, to consider
the uncertainties associated with the mechanical properties of rocks that form geological …