A theory for particle size segregation in shallow granular free-surface flows
By J. Gray, Anthony R. Thornton. Proceedings of the Royal Society A, 2005
279 citations recorded by the source corpus.
Subfields: Computational Mechanics, Ecology, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/187b0592e1ea27a9146ed2d9a861f9dbad16c6d3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- J. Gray
- Anthony R. Thornton
- Thomas Weinhart
- Stefan Luding
- Onno Bokhove
- Olivier Roche
- Anne Mangeney
- P. Richard
In Ecology
- J. Gray
- Stefan Luding
- Thomas Weinhart
- Onno Bokhove
- Anthony R. Thornton
- Anne Mangeney
- Olivier Roche
- P. Richard
In Management, Monitoring, Policy and Law
- J. Gray
- Thomas Weinhart
- Stefan Luding
- Onno Bokhove
- Olivier Roche
- Anthony R. Thornton
- Anne Mangeney
- P. Richard
Citations in the corpus
- Granular and particle-laden flows: from laboratory experiments to field observations (2017, methodology): “Based on the segregation model of Gray and Thornton (2005) and on an empirical 3D velocity field resembling the experimental observations of water saturated granular mat erial, Johnson et al (2012) suggest that the segregation process may be more complicated, involving recirculation of large…”
- MODELING OF PARTICLE SIZE SEGREGATION: CALIBRATION USING THE DISCRETE PARTICLE METHOD (2011, methodology): “For simple shear configurations they found sharp jumps in concentration as predicted by the original low-diffusion theory.(18,40) Khakhar, McCarthy & Ottino(24) performed a detailed investigation of segregation, by both size and density differences in granular chute flows.”
- Particle Segregation in Dense Granular Flows (2018, methodology): “The segregation is also driven by large particles supporting more of the stress than the fine particles (Gray & Thornton 2005), and the resulting population balance equation looks somewhat similar to the bidisperse segregation Equation 14, except that it must be solved in five dimensions: space,…”