Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide class of phenomena and systems, ranging from condensed matter physics, soft …

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 …

A unified model for clays and sands, referred to as CSUH model, is proposed. The CSUH
model develops the following aspects based on the unified hardening (UH) model:(a) a …

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 …

Fabric anisotropy has a significant influence on the mechanical behavior of sand. An
anisotropic plasticity model incorporating fabric evolution is formulated in this study …

A micro–macro elastoplastic micropolar continuum model for granular materials in the dry
and pendular states is proposed on the basis of thermodynamics. The independent …

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 …

Force chain buckling, leading to unjamming and shear banding, is examined quantitatively
via a discrete element analysis of a two-dimensional, densely-packed, cohesionless …

The shear strength of coarse granular materials, widely used in civil works such as rockfill in
dam construction, is seldom measured because of severe practical experimental limitations …

Experimental observations have shown the significant impact of fines or coarse grains on
the behavior of sand-silt mixtures. To describe the behavior of sand-silt mixtures under both …