Imaging based discrete element modeling of granular assemblies

E. Tutumluer, H. Huang, Y. M.A. Hashash, J. Ghaboussi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations


An imaging based Discrete Element Modeling (DEM) methodology is introduced to investigate effects of multiscale aggregate morphological properties on performances of granular assemblies, such as unbound aggregate layers used in railroad ballast and highway and airport pavement base courses. Coarse aggregates with four different angularity classes and three different surface texture roughness properties were quantified using the recently developed University of Illinois Aggregate Image Analyzer and then studied in a series of numerical simulation direct shear box tests using a DEM program. Effects of aggregate angularity and surface texture were presented as multiscale morphological properties on the strength of the granular assembly. Applications of the research methodology could potentially impact selection of construction aggregate properties and be used in the functional grading and manufacturing of crushed stone.

Original languageEnglish (US)
Title of host publicationMultiscale and Functionally Graded Materials - Proceedings of the International Conference, FGM IX
Number of pages6
StatePublished - 2008
Event9th International Conference on Multiscale and Functionally Graded Materials, FGM IX - Oahu Island, HI, United States
Duration: Oct 15 2006Oct 18 2006

Publication series

NameAIP Conference Proceedings
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616


Other9th International Conference on Multiscale and Functionally Graded Materials, FGM IX
Country/TerritoryUnited States
CityOahu Island, HI

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy


Dive into the research topics of 'Imaging based discrete element modeling of granular assemblies'. Together they form a unique fingerprint.

Cite this