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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 …
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
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 …
soil slope is evaluated using random adaptive finite element limit analysis with anisotropic …
Estimating the thermal conductivity of soils using six machine learning algorithms
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 …
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
Artificial ground freezing (AGF) has been extensively applied in underground engineering
construction as a popular ground-support technique. In recent decades, a series of …
construction as a popular ground-support technique. In recent decades, a series of …
An improved 3D microstructure reconstruction approach for porous media
Microstructure reconstruction of porous media is vital for the evaluation of material
properties, which has been applied in many fields. Various approaches have been …
properties, which has been applied in many fields. Various approaches have been …
State-of-the-Art Constitutive Modelling of Frozen Soils
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 …
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
Thermal conductivity is a significant soil property that affects subsurface temperature
distribution and plays an essential role in geotechnical engineering. Accurate evaluation of …
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
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 …
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
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 …
waterproofing technique in geotechnical practices (eg, tunnel construction). Many sources of …
Application of machine learning algorithms to model soil thermal diffusivity
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 …
energy storage and heat transfer. Direct measurements of soil thermal diffusivity are …