Abstract Machine learning (ML) may provide a new methodology to directly learn from raw
data to develop constitutive models for soils by using pure mathematic skills. It has …

The transmission effect refers to the migration of eroded fine particles between the
neighboring gap-graded soil matrix, and its influence on suffusion is rarely investigated. A …

The flow direction is generally different from the gravity direction in geotechnical structures
or slopes, the effect of which during suffusion remains unclear. This paper presents a …

Suffusion is one of the most common causes of hydraulic geological structure failure. During
the suffusion process, particle shape is a significant factor to affect the micro-structure and …

This study systematically presents the application of machine learning (ML) algorithms for
constructing a constitutive model for soils. A genetic algorithm is integrated with ML …

Parameter identification using Bayesian approach with Markov Chain Monte Carlo (MCMC)
has been verified only for certain conventional simple constitutive models up to now. This …

Slit-type barriers serve as active countermeasures against debris flow. However, the
dynamic interaction between debris flows and slit-type barriers is extremely complicated. To …

Due to the unique properties of calcareous sand in reclamation projects, soil foundations
consisting of calcareous sand-filled land are often exposed to reversible tidal waves. This …

Soil arching is a common phenomenon in many underground engineering problems. This
paper develops a coupling approach involving the Finite Element Method (FEM) and …

The strength and deformation behaviour of granular soil is strongly dependent on its stress
state and loading history. Due to the change of soil state, the plastic flow direction and …