Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Université Grenoble Alpes

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2015Distribution of liquid clusters inside a granular packing by LBMcitations
  • 2015Liquid clustering and capillary pressure in granular media62citations
  • 2013Capillary states of granular materials in the funicular state8citations
  • 2013Simulation of wetting regimes in a 2D granular packingcitations
  • 2007Shear strength of unsaturated soils: experiments, DEM simulations, and micromechanical analysiscitations
  • 2006Shear strength properties of wet granular materials242citations

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Chart of shared publication
Delenne, Jean-Yves
4 / 34 shared
Radjai, Farhang
6 / 32 shared
Youssoufi, Moulay Saïd El
1 / 11 shared
El Youssoufi, Moulay Saïd
1 / 16 shared
Chart of publication period
2015
2013
2007
2006

Co-Authors (by relevance)

  • Delenne, Jean-Yves
  • Radjai, Farhang
  • Youssoufi, Moulay Saïd El
  • El Youssoufi, Moulay Saïd
OrganizationsLocationPeople

document

Simulation of wetting regimes in a 2D granular packing

  • Delenne, Jean-Yves
  • Richefeu, Vincent
  • Radjai, Farhang
Abstract

In wet granular materials, the liquid – in the form of clusters that bind the grains together or in the form of thin adsorbed phase – plays a key role in the rheological properties. Manufacture of pharmaceutical pills, shear strength of wet and coarse soils, triggering of landslides or pollution transport in zones above water tables are some examples. The talk is concerned with a numerical analysis of liquid distribution within a 2D granular packing. The thermodynamics of phase change is based on Carnahan--‐Starling's equation--‐of--‐state from which the interactions between liquid, gas and solid (grains) are derived using nonlocal potentials in the framework of Multiphase Lattice Boltzmann method. These potentials are calculated on a regular mesh between the fluid particles and neighboring lattice nodes that control the surface tension and the contact angle between fluid and solid. Injecting, slowly and homogeneously, vapor that condense in--‐between the grains and in the liquid phase, increases the saturation degree. A flood--‐fill algorithm is used to identify the liquid clusters and to determine their volume and connectivity with grains. The latter feature provides rich information that is analyzed from the point of view of the liquid phase and also of the grains. The pressures of the clusters are analyzed as a function of liquid content. This gives access to the global liquid--‐retention curve as well as the forces acting on each grain. By integrating these forces, we compute the negative pressure in the sample due to capillary forces and hence the capillary cohesion of the material. The plot of cohesive strength as a function of saturation degree reveals four different states reflecting the connectivity of the liquid phase and local grain environments. We find that the liquid phase undergoes a percolation transition for a liquid content well below full saturation. Interestingly, the cohesive strength has its peak value below this transition, dividing thus the funicular regime into an ascending cohesion regime followed by a descending cohesion in the late funicular regime. 26/

Topics
  • impedance spectroscopy
  • surface
  • cluster
  • grain
  • simulation
  • strength
  • liquid phase