Porosity distribution and flow rate of granular materials

J. A. Wasserman, Lorin Nickle, Ali Daouadji, Beena Sukumaran

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

Abstract

The flow rate of granular material depends on particle characteristics, including: mineralogy, shape, angularity, surface texture, grain size and size distribution. This paper discusses computational and numerical techniques used to measure material characteristics (input) as well as computational experimentation and measurement techniques used to evaluate material flow rate (output) from a hopper. X-Ray Computational Tomography (XCT) image analysis is used to measure sample porosity and porosity distribution in both 2D and 3D, while microscopic image analysis methods are used to compute the angularity and shape factor of sample particles. With these input characteristics, we can evaluate the flow rate of a sample using Discrete Element Method (DEM) Modeling, which can then be compared to and verified by physical experimentation.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering
PublisherAmerican Society of Civil Engineers (ASCE)
Pages331-338
Number of pages8
ISBN (Print)9780784477908
DOIs
StatePublished - Jan 1 2013
Event2013 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2013 - Los Angeles, CA, United States
Duration: Jun 23 2013Jun 25 2013

Publication series

NameComputing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering

Other

Other2013 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2013
Country/TerritoryUnited States
CityLos Angeles, CA
Period6/23/136/25/13

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering

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