State of the art of coupled thermo–hydro-mechanical–chemical modelling for frozen soils

KQ Li, ZY Yin - Archives of Computational Methods in Engineering, 2024 - Springer
Numerous studies have investigated the coupled multi-field processes in frozen soils,
focusing on the variation in frozen soils and addressing the influences of climate change …

Quantitative bearing capacity assessment of strip footings adjacent to two-layered slopes considering spatial soil variability

H Zhou, Q Hu, X Yu, G Zheng, X Liu, H Xu, S Yang… - Acta Geotechnica, 2023 - Springer
The probabilistic bearing capacity of the strip footing placed near a two-layered cohesive
soil slope is evaluated using random adaptive finite element limit analysis with anisotropic …

Estimating the thermal conductivity of soils using six machine learning algorithms

KQ Li, Y Liu, Q Kang - International Communications in Heat and Mass …, 2022 - Elsevier
Many machine learning algorithms have been applied to determine soil properties in recent
years. However, the prediction performances of thermal conductivity of soils via machine …

Influences of spatial variability of hydrothermal properties on the freezing process in artificial ground freezing technique

KQ Li, ZY Yin, Y Liu - Computers and Geotechnics, 2023 - Elsevier
Artificial ground freezing (AGF) has been extensively applied in underground engineering
construction as a popular ground-support technique. In recent decades, a series of …

An improved 3D microstructure reconstruction approach for porous media

KQ Li, Y Liu, ZY Yin - Acta Materialia, 2023 - Elsevier
Microstructure reconstruction of porous media is vital for the evaluation of material
properties, which has been applied in many fields. Various approaches have been …

State-of-the-Art Constitutive Modelling of Frozen Soils

KQ Li, ZY Yin, JL Qi, Y Liu - Archives of Computational Methods in …, 2024 - Springer
In recent decades, the constitutive modelling for frozen soils has attracted remarkable
attention from scholars and engineers due to the continuously growing constructions in cold …

Artificial neural network for predicting the thermal conductivity of soils based on a systematic database

KQ Li, Q Kang, JY Nie, XW Huang - Geothermics, 2022 - Elsevier
Thermal conductivity is a significant soil property that affects subsurface temperature
distribution and plays an essential role in geotechnical engineering. Accurate evaluation of …

Predicting the thermal conductivity of unsaturated soils considering wetting behavior: A meso‑scale study

XW Huang, J Guo, KQ Li, ZZ Wang, W Wang - International Journal of Heat …, 2023 - Elsevier
Unsaturated soils are three-phase porous materials that consist of the solid phase, the liquid
phase and the gas phase. While accurate predictions to the thermal conductivity of …

Coupled thermal–hydraulic modeling of artificial ground freezing with uncertainties in pipe inclination and thermal conductivity

Y Liu, KQ Li, DQ Li, XS Tang, SX Gu - Acta Geotechnica, 2022 - Springer
Artificial ground freezing (AGF) has been widely used as a temporary soil stabilization and
waterproofing technique in geotechnical practices (eg, tunnel construction). Many sources of …

Application of machine learning algorithms to model soil thermal diffusivity

K Li, R Horton, H He - International Communications in Heat and Mass …, 2023 - Elsevier
Soil thermal diffusivity (k) is an important thermal property that significantly affects ground
energy storage and heat transfer. Direct measurements of soil thermal diffusivity are …