• Corpus ID: 240420194

Experimental validation of a micromechanically-based compaction law for soft/hard grain mixtures

  title={Experimental validation of a micromechanically-based compaction law for soft/hard grain mixtures},
  author={Manuel C'ardenas-Barrantes and Jonathan Bar'es and Mathieu Renouf and 'Emilien Az'ema},
In this letter, we report on an experimental study which analyzes the compressive behavior of 2D bidisperse granular assemblies made of soft (hyperelastic) and hard grains in varying proportions (κ). By means of a recently developed uniaxial compression set-up [1] and using advanced Digital Image Correlation (DIC) method, we follow, beyond the jamming point, the evolution of the main mechanical observables, from the global scale down to the strain field inside each deformable grain. First, we… 

Figures from this paper

Softer than soft: Diving into squishy granular matter
Softer than soft, squishy granular matter is composed of grains capable of significantly changing their shape (typically a deformation larger than 10%) without tearing or breaking. Because of the


Soft-grain compression: Beyond the jamming point.
It is argued that the strain field is a reliable observable to describe the evolution of a granular system through the jamming transition and deep in the dense packing state whatever the material behavior.
Highly strained mixtures of bidimensional soft and rigid grains: an experimental approach from the local scale
Granular systems are not always homogeneous and can be composed of grains with very different mechanical properties. To improve our understanding of the behavior of real granular systems, in this
Compaction Model for Highly Deformable Particle Assemblies.
This work develops a theoretical model, free from ad hoc parameters, correctly mapping the evolution of ϕ with P and deduces a bulk modulus equation showing an excellent agreement with the numerical data.
Compaction of mixtures of rigid and highly deformable particles: A micromechanical model.
A model based on the characterization of a single deformable particle under compression together with a power-law relation between connectivity and packing fraction results in outstanding predictions from the jamming point up to very high densities and allows a direct prediction of ϕ_{max} as a function of both the mixture ratio and the friction coefficient.
Evolution of network architecture in a granular material under compression.
The results discussed throughout this study suggest that these network science techniques may provide a direct way to compare and classify data from systems under different external conditions or with different physical makeup.
Micromechanical description of the compaction of soft pentagon assemblies.
A model that describes the compaction behavior as a function of the applied pressure, the Young modulus, and the initial shape of the particles is developed, and provides outstanding predictions from the jamming point up to very high densities.
Self-organized magnetic particles to tune the mechanical behavior of a granular system
Above a certain density a granular material jams. This property can be controlled by either tuning a global property, such as the packing fraction or by applying shear strain, or at the micro-scale
Deformation Field in Diametrically Loaded Soft Cylinders
Deformation fields at the surface of diametrically squeezed shallow cylinders in the large deformation regime are measured experimentally and numerically for different material behaviour in the large
3D bulk measurements of the force distribution in a compressed emulsion system.
The simplest form of the Boltzmann equation for the probability of force distributions predicts P(f) to be of the form e(-f/p), where p is proportional to the mean force f for large forces, in good agreement with experimental and simulated data.
Shear strength and force transmission in granular media with rolling resistance.
The data suggest that the nature of the weak contact network is strongly affected by the formation of these columns of particles which do not need to be propped laterally and are reflected in a decreasing power-law probability distribution of the contact forces and torques below the mean.