The discrete element method (DEM) has been confirmed as an effective numerical method
for modelling railway ballast, and successfully used to analyse a wide range of ballast …

This survey provides an overview of the different approaches seen in the literature
concerning particle damping. The emphasis is on particle dampers used on beams vibrating …

Yade is an extensible open-source framework for discrete numerical models, focused on the
Discrete Element Method. The computation parts are written in c++ using a flexible object …

This study presents a novel transfer learning (TL)-based multi-fidelity modeling approach for
a set of granular material-filled particle dampers (PDs) with varying cavity height and particle …

This report investigates the effects of Fourier-based particle shape on the macroscopic and
microscopic shear responses of rockfill material via a series of numerical biaxial …

The prediction quality of discrete element method (DEM) models for railway ballast can be
expected to depend on three points: the geometry representation of the single particles, the …

In this work, frictional, cylindrical particle shear flows with different size distributions
(monodisperse, binary, Gaussian, uniform) are simulated using the Discrete Element …

Despite ongoing research, the parametrisation of a DEM model is a challenging task, as it
depends strongly on the particle shape representation used, particle-particle contact law …

The discrete numerical method is recognized today as a powerful method to describe the
constitutive behaviour of granular media at both the scale of particles and the scale of the …

The capability of a discrete element model to predict the constitutive response of a soil is
investigated in this paper. The discrete model is constituted of spherical particles with a …