Experimental study of some properties of the strong and weak force networks in a jammed granular medium
| Autor: | Antoine Seguin |
|---|---|
| Přispěvatelé: | Fluides, automatique, systèmes thermiques (FAST), Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), CEA- Saclay (CEA), Commissariat à l'énergie atomique et aux énergies alternatives (CEA) |
| Rok vydání: | 2020 |
| Předmět: |
Physics
0211 other engineering and technologies General Physics and Astronomy Probability density function Jamming 02 engineering and technology Mechanics Granular material 01 natural sciences Condensed Matter::Soft Condensed Matter Shear (sheet metal) Stress (mechanics) Normal distribution [SPI]Engineering Sciences [physics] Mechanics of Materials 0103 physical sciences Shear stress Dissipative system General Materials Science 010306 general physics 021101 geological & geomatics engineering |
| Zdroj: | Granular Matter Granular Matter, 2020, 22 (2), pp.48. ⟨10.1007/s10035-020-01015-z⟩ |
| ISSN: | 1434-7636 1434-5021 |
| Popis: | We are experimentally investigating the force network of a monolayer of grains through the jamming transition. Once the packing has been compressed beyond the volume fraction of jamming $$\phi _J$$, we use particle tracking and photoelastic techniques to determine the network of forces in the grains. We experimentally quantify the pressure inside each grain and highlight the two networks of forces existing in jammed granular materials: the load bearing network (force chains strong network) and the dissipative network (weak network). For the strong network, we study the statistical properties of the stress state of the grains and in particular the exponential tails of the probability density function of pressure and shear stress. As the distance to jamming increases, the probability density function of local shear in the system evolves and tends to look like a normal distribution while the probability density function of pressure does not evolve. For the weak network, we study the contact cycles in the granular packing. By calculating their numbers, we determine some statistical properties of these cycles. The number of cycles of order $$n=3$$ which carries the dissipative network increases linearly with the number of contacts. |
| Databáze: | OpenAIRE |
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