Computer simulation of random parckings for self-similar particle size distributions in soil and granular materials: porosity and pore size distribution

Martin Martin, Miguel Angel and Muñoz Ortega, Francisco Javier and Reyes Castro, Miguel E. and Taguas Coejo, Francisco Javier (2014). Computer simulation of random parckings for self-similar particle size distributions in soil and granular materials: porosity and pore size distribution. "Fractals-Complex Geometry Patterns And Scaling in Nature And Society", v. 22 (n. 3); pp.. ISSN 0218-348X. https://doi.org/10.1142/S0218348X1440009X.

Description

Title: Computer simulation of random parckings for self-similar particle size distributions in soil and granular materials: porosity and pore size distribution
Author/s:
  • Martin Martin, Miguel Angel
  • Muñoz Ortega, Francisco Javier
  • Reyes Castro, Miguel E.
  • Taguas Coejo, Francisco Javier
Item Type: Article
Título de Revista/Publicación: Fractals-Complex Geometry Patterns And Scaling in Nature And Society
Date: September 2014
ISSN: 0218-348X
Volume: 22
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Matemática Aplicada
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

A 2D computer simulation method of random packings is applied to sets of particles generated by a self-similar uniparametric model for particle size distributions (PSDs) in granular media. The parameter p which controls the model is the proportion of mass of particles corresponding to the left half of the normalized size interval [0,1]. First the influence on the total porosity of the parameter p is analyzed and interpreted. It is shown that such parameter, and the fractal exponent of the associated power scaling, are efficient packing parameters, but this last one is not in the way predicted in a former published work addressing an analogous research in artificial granular materials. The total porosity reaches the minimum value for p = 0.6. Limited information on the pore size distribution is obtained from the packing simulations and by means of morphological analysis methods. Results show that the range of pore sizes increases for decreasing values of p showing also different shape in the volume pore size distribution. Further research including simulations with a greater number of particles and image resolution are required to obtain finer results on the hierarchical structure of pore space.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainAGL2011-25175UnspecifiedUnspecifiedUnspecified

More information

Item ID: 35640
DC Identifier: http://oa.upm.es/35640/
OAI Identifier: oai:oa.upm.es:35640
DOI: 10.1142/S0218348X1440009X
Official URL: http://www.worldscientific.com/doi/abs/10.1142/S0218348X1440009X
Deposited by: Memoria Investigacion
Deposited on: 24 Jun 2015 17:37
Last Modified: 22 May 2019 07:58
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