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Density profiles of granular gases studied by molecular dynamics and Brownian bridges

Author

Listed:
  • Peñuñuri, F.
  • Montoya, J.A.
  • Carvente, O.

Abstract

Despite the inherent frictional forces and dissipative collisions, confined granular matter can be regarded as a system in a stationary state if we inject energy continuously. Under these conditions, both the density and the granular temperature are, in general, non-monotonic variables along the height of the container. In consequence, an analytical description of a granular system is hard to conceive. Here, by using molecular dynamics simulations, we measure the packing fraction profiles for a vertically vibrating three-dimensional granular system in several gaseous-like stationary states. We show that by using the Brownian bridge concept, the determined packing fraction profiles can be reproduced accurately and give a complete description of the distribution of the particles inside the simulation box.

Suggested Citation

  • Peñuñuri, F. & Montoya, J.A. & Carvente, O., 2018. "Density profiles of granular gases studied by molecular dynamics and Brownian bridges," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 2103-2110.
    • Handle: RePEc:eee:phsmap:v:492:y:2018:i:c:p:2103-2110
    DOI: 10.1016/j.physa.2017.11.127
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    Cited by:

    1. Karimipour, Arash & D’Orazio, Annunziata & Goodarzi, Marjan, 2018. "Develop the lattice Boltzmann method to simulate the slip velocity and temperature domain of buoyancy forces of FMWCNT nanoparticles in water through a micro flow imposed to the specified heat flux," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 729-745.
    2. Goodarzi, Marjan & D’Orazio, Annunziata & Keshavarzi, Ahmad & Mousavi, Sayedali & Karimipour, Arash, 2018. "Develop the nano scale method of lattice Boltzmann to predict the fluid flow and heat transfer of air in the inclined lid driven cavity with a large heat source inside, Two case studies: Pure natural ," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 210-233.

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