Rowan University
An algebraic reconstruction technique (ART) for the synthesis of three-dimensional models of particle aggregates from projective representations
Abstract
dc:description.abstract<p>There exists considerable evidence that the shear behavior and flow behavior of granular materials is significantly dependent on particle morphology. However, quantification of this dependence is a challenging task owing to a dearth of quantitative models for describing particle shape and the difficulty of modeling angular particle assemblies. The situation becomes more complex when discrete element analyses of realistic 3-D particle shapes are required. The thesis attempts to address this problem by adapting the algebraic reconstruction technique (ART) to synthesize composite 3-D granular particles from statistically obtained 3-D shape descriptors of the particles in an aggregate mixture. This thesis extends previous work where it was demonstrated that the 3-D shape characteristics of particles in an aggregate mixture can be numerically expressed by statistical models obtained from 2-D projective representations of multiple particles in the mixture.</p> <p>In this thesis, attempts were made to validate the premise that multiple projective representations of multiple particles could be used to synthesize a composite 3-D particle that represents the entire mixture in terms of its 3-D shape descriptors. Also, single particles isolated from the aggregate mix were scanned using optical and X-ray tomography techniques to generate 2-D multiple projections and synthesize the 3-D particle shape. This research work proves useful for generating realistic shapes for discrete element applications or in obtaining more fundamental understanding of the micromechanics of granular solids.</p>
Degree
thesis:*- Name thesis:degree_name
- M.S. in Engineering
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Electrical & Computer Engineering
- Year dc:date.available
- 2005
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Randall-Barrot, Daniel Jonathan
- Contributors dc:contributor
-
- Mandayam, Shreekanth
Subjects
dc:subject × 2Identifiers
dc:identifier.*- Repository record dc:identifier
- https://rdw.rowan.edu/etd/1066
- OAI identifier oai:identifier
- oai:rdw.rowan.edu:etd-2066