Numerical simulation of vibrated granular gases under realistic boundary conditions

W.A.m Morgado and Eduardo R Mucciolo

Physica A: Statistical Mechanics and its Applications, 2002, vol. 311, issue 1, 150-168

Abstract: A variant of the direct simulation Monte Carlo method is used to study the behavior of a granular gas, in two and three dimensions, under varying density, restitution coefficient, and inelasticity regimes, for realistic vibrating wall conditions. Our results agree quite well with recent experimental data. We study the effect of wall–particle and particle–particle inelasticity and particle density on the granular distributions of velocities and some of their moments. The behavior of state functions, such as pressure, is also discussed. We observed, upon a density increase, the signals of a clustering transition. The role of the energy injection mechanism is discussed, as well as the behavior of state-functions, such as pressure, under realistic boundary conditions. Upon a density increase, we find signals of a clustering transition.

Keywords: Granular gas; Non-Gaussian (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437102008300
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:311:y:2002:i:1:p:150-168

DOI: 10.1016/S0378-4371(02)00830-0

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().