1 citations · 2 across the 4 of their papers we have counts for
4 papers
Use of Machine Learning for unraveling hidden correlations between Particle Size Distributions and the Mechanical Behavior of Granular Materials
Ignacio G. Tejada, Pablo Antolin
A data-driven framework was used to predict the macroscopic mechanical behavior of dense packings of polydisperse granular materials. The Discrete Element Method, DEM, was used to…
Boussinesq-like problems in discrete media
Ignacio G. Tejada
Vertical loads acting on the surface of a half-space made of discrete and elastic particles are supported by a network of force chains that changes with the specific realization of…
Coupling a reactive potential with a harmonic approximation for atomistic simulations of material failure
Ignacio Tejada, Laurent Brochard, Tony Lelievre +3
Molecular dynamics (MD) simulations involving reactive potentials can be used to model material failure. The empirical potentials which are used in such simulations are able to ada…
Stress phase space for static granular matter
Ignacio G. Tejada
This paper proposes a phase space to compare the static packings of a granular system compatible to a macrostate that is set by the external stress. The nature of this phase space…