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A constitutive law for dense granular flows

Author

Listed:
  • Pierre Jop

    (IUSTI, CNRS UMR 6595, Université de Provence)

  • Yoël Forterre

    (IUSTI, CNRS UMR 6595, Université de Provence)

  • Olivier Pouliquen

    (IUSTI, CNRS UMR 6595, Université de Provence)

Abstract

Truth of grains Equations describing how granular materials move under shear are still a matter of debate. Jop et al. now propose a new model for dense granular flows in three dimensions, inspired by the behaviour of visco-plastic fluids such as toothpaste. The results could serve as a basic tool for modelling complex flows in geophysical or industrial applications.

Suggested Citation

  • Pierre Jop & Yoël Forterre & Olivier Pouliquen, 2006. "A constitutive law for dense granular flows," Nature, Nature, vol. 441(7094), pages 727-730, June.
    • Handle: RePEc:nat:nature:v:441:y:2006:i:7094:d:10.1038_nature04801
    DOI: 10.1038/nature04801
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    Citations

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    Cited by:

    1. Khattri, Khim B. & Pudasaini, Shiva P., 2019. "Channel flow simulation of a mixture with a full-dimensional generalized quasi two-phase model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 165(C), pages 280-305.
    2. Lhuillier, Daniel, 2007. "Constitutive relations for steady flows of dense granular liquids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(2), pages 267-275.
    3. Yi Liu & Zhaosheng Yu & Jiecheng Yang & Carl Wassgren & Jennifer Sinclair Curtis & Yu Guo, 2020. "Discrete Element Method Investigation of Binary Granular Flows with Different Particle Shapes," Energies, MDPI, vol. 13(7), pages 1-25, April.
    4. Mohammad Omidi & Shu-Jie Liu & Soheil Mohtaram & Hui-Tian Lu & Hong-Chao Zhang, 2019. "Improving Centrifugal Compressor Performance by Optimizing the Design of Impellers Using Genetic Algorithm and Computational Fluid Dynamics Methods," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    5. Gianluca Martelloni & Franco Bagnoli, 2014. "Infiltration effects on a two-dimensional molecular dynamics model of landslides," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(1), pages 37-62, August.
    6. Junnan Zhao & Xinyao Guo & Guodong Liu & Rui Wang & Huilin Lu, 2022. "A Review of the Continuum Theory-Based Stress and Drag Models in Gas-Solid Flows," Energies, MDPI, vol. 16(1), pages 1-22, December.
    7. Rui Li & Yuliang Teng, 2022. "An improved DebrisInterMixingFoam for debris flow simulation: numerical investigation and application," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(3), pages 1925-1947, September.
    8. Samuel R. Wilson-Whitford & Jinghui Gao & Maria Chiara Roffin & William E. Buckley & James F. Gilchrist, 2023. "Microrollers flow uphill as granular media," Nature Communications, Nature, vol. 14(1), pages 1-6, December.
    9. Juan Reyes, 2012. "Optimization of mixed variational inequalities arising in flow of viscoplastic materials," Computational Optimization and Applications, Springer, vol. 52(3), pages 757-784, July.
    10. Matthias Rauter & Sylvain Viroulet & Sigríður Sif Gylfadóttir & Wolfgang Fellin & Finn Løvholt, 2022. "Granular porous landslide tsunami modelling – the 2014 Lake Askja flank collapse," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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