An optical tomography system for characterizing 3D shapes of particle aggregates

Patrick Giordano, Daniel Barrot, Philip Mease, Kevin Garrison, Shreekanth Mandayam, Beena Sukumaran

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations


It has been shown that properties of geomaterial aggregates, mainly flow and shear characteristics, are significantly dependent on the shapes of the particles in the mixture. 3D particle models that have been previously developed to quantify this dependence have proved complex and expensive. This paper describes an optical tomography technique for the acquisition of real particle data that can be characterized using 3D shape descriptors. The algebraic reconstruction technique (ART) is used to synthesize 3D particle shapes from 2D tomography projections. Results demonstrating the efficacy of the method on a set of sand mixtures are presented.

Original languageEnglish (US)
Number of pages3
StatePublished - 2006
Event2006 IEEE Sensors Applications Symposium - Houston, TX, United States
Duration: Feb 7 2006Feb 9 2006


Other2006 IEEE Sensors Applications Symposium
Country/TerritoryUnited States
CityHouston, TX

All Science Journal Classification (ASJC) codes

  • General Engineering


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  • Virtual Reality Lab

    Shreekanth Mandayam (Manager) & George D. Lecakes (Manager)

    Equipment/facility: Facility

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