Dynamically tessellating algorithm for analysis of pore size distribution in particle agglomerates

Mark Benedict, Meenakshi Dutt, James Elliott

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

We describe a novel physical application of the OctTree data structure [P. Meagher, Comput. Graphics Image Process 19(2) (1982) 129-147] in a dynamically tessellating algorithm, in conjunction with an object-oriented, constructive solid geometry library (DOC), to efficiently determine pore size distributions in large multi-particle systems. We apply the DOC library to investigate the evolving dynamics of pore formation in multi-particle systems, such as a mixture of smooth hard cubes and spheres and a collection of frictional soft spheres. We demonstrate that the algorithm is able to provide insight into the effect of structural changes on the porosity network; for example, during the uniaxial compaction of soft spheres, we find the number density of pores increases while the mean volume of the pores decreases. This trend is responsible for a shift in the distribution of the pore volumes to favour smaller volumes. We anticipate that the DOC method will have wider applications in the area of granular materials for studying the changes in pore structure in both experimental and numerical systems as a complement to the analysis of particle packing.

Original languageEnglish (US)
Pages (from-to)465-474
Number of pages10
JournalPhysica A: Statistical Mechanics and its Applications
Volume378
Issue number2
DOIs
StatePublished - May 15 2007

Fingerprint

Particle System
porosity
Constructive Solid Geometry
Compaction
Granular Materials
Structural Change
Porosity
Object-oriented
Regular hexahedron
Packing
Data Structures
Complement
Decrease
data structures
granular materials
Demonstrate
complement
Libraries
trends
shift

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Condensed Matter Physics

Keywords

  • Compaction
  • Granular materials
  • Object-oriented algorithm
  • Particle packing
  • Porosity

Cite this

@article{c115c220469f4718967309d9070ee099,
title = "Dynamically tessellating algorithm for analysis of pore size distribution in particle agglomerates",
abstract = "We describe a novel physical application of the OctTree data structure [P. Meagher, Comput. Graphics Image Process 19(2) (1982) 129-147] in a dynamically tessellating algorithm, in conjunction with an object-oriented, constructive solid geometry library (DOC), to efficiently determine pore size distributions in large multi-particle systems. We apply the DOC library to investigate the evolving dynamics of pore formation in multi-particle systems, such as a mixture of smooth hard cubes and spheres and a collection of frictional soft spheres. We demonstrate that the algorithm is able to provide insight into the effect of structural changes on the porosity network; for example, during the uniaxial compaction of soft spheres, we find the number density of pores increases while the mean volume of the pores decreases. This trend is responsible for a shift in the distribution of the pore volumes to favour smaller volumes. We anticipate that the DOC method will have wider applications in the area of granular materials for studying the changes in pore structure in both experimental and numerical systems as a complement to the analysis of particle packing.",
keywords = "Compaction, Granular materials, Object-oriented algorithm, Particle packing, Porosity",
author = "Mark Benedict and Meenakshi Dutt and James Elliott",
year = "2007",
month = "5",
day = "15",
doi = "10.1016/j.physa.2006.11.092",
language = "English (US)",
volume = "378",
pages = "465--474",
journal = "Physica A: Statistical Mechanics and its Applications",
issn = "0378-4371",
publisher = "Elsevier",
number = "2",

}

Dynamically tessellating algorithm for analysis of pore size distribution in particle agglomerates. / Benedict, Mark; Dutt, Meenakshi; Elliott, James.

In: Physica A: Statistical Mechanics and its Applications, Vol. 378, No. 2, 15.05.2007, p. 465-474.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Dynamically tessellating algorithm for analysis of pore size distribution in particle agglomerates

AU - Benedict, Mark

AU - Dutt, Meenakshi

AU - Elliott, James

PY - 2007/5/15

Y1 - 2007/5/15

N2 - We describe a novel physical application of the OctTree data structure [P. Meagher, Comput. Graphics Image Process 19(2) (1982) 129-147] in a dynamically tessellating algorithm, in conjunction with an object-oriented, constructive solid geometry library (DOC), to efficiently determine pore size distributions in large multi-particle systems. We apply the DOC library to investigate the evolving dynamics of pore formation in multi-particle systems, such as a mixture of smooth hard cubes and spheres and a collection of frictional soft spheres. We demonstrate that the algorithm is able to provide insight into the effect of structural changes on the porosity network; for example, during the uniaxial compaction of soft spheres, we find the number density of pores increases while the mean volume of the pores decreases. This trend is responsible for a shift in the distribution of the pore volumes to favour smaller volumes. We anticipate that the DOC method will have wider applications in the area of granular materials for studying the changes in pore structure in both experimental and numerical systems as a complement to the analysis of particle packing.

AB - We describe a novel physical application of the OctTree data structure [P. Meagher, Comput. Graphics Image Process 19(2) (1982) 129-147] in a dynamically tessellating algorithm, in conjunction with an object-oriented, constructive solid geometry library (DOC), to efficiently determine pore size distributions in large multi-particle systems. We apply the DOC library to investigate the evolving dynamics of pore formation in multi-particle systems, such as a mixture of smooth hard cubes and spheres and a collection of frictional soft spheres. We demonstrate that the algorithm is able to provide insight into the effect of structural changes on the porosity network; for example, during the uniaxial compaction of soft spheres, we find the number density of pores increases while the mean volume of the pores decreases. This trend is responsible for a shift in the distribution of the pore volumes to favour smaller volumes. We anticipate that the DOC method will have wider applications in the area of granular materials for studying the changes in pore structure in both experimental and numerical systems as a complement to the analysis of particle packing.

KW - Compaction

KW - Granular materials

KW - Object-oriented algorithm

KW - Particle packing

KW - Porosity

UR - http://www.scopus.com/inward/record.url?scp=33847653429&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33847653429&partnerID=8YFLogxK

U2 - 10.1016/j.physa.2006.11.092

DO - 10.1016/j.physa.2006.11.092

M3 - Article

AN - SCOPUS:33847653429

VL - 378

SP - 465

EP - 474

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

SN - 0378-4371

IS - 2

ER -