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 …

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 …

Artificial ground freezing (AGF) has been extensively applied in underground engineering
construction as a popular ground-support technique. In recent decades, a series of …

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 …

Landslide is a uniquely dynamic large-deformation process that can present serious threat
to human lives and infrastructures. The natural soil properties often exhibit inherent spatial …

Thermal conductivity is a significant soil property that affects subsurface temperature
distribution and plays an essential role in geotechnical engineering. Accurate evaluation of …

This paper proposes a framework to identify geological characteristics (GC) based on
borehole data and operational data during shield tunnelling using a fuzzy C-means …

Various experiments and computational methods have been conducted to describe the
mechanical behaviours of frozen soils. However, due to high nonlinearity and uncertainty of …

As an essential property of frozen soils, change of unfrozen water content (UWC) with
temperature, namely soil-freezing characteristic curve (SFCC), plays significant roles in …

This study proposes a generalised framework for developing a hybrid machine learning
(ML) model that combines support vector regression (SVR) with hyperparameter …