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dc.contributor.authorBroyles, David A.en_US
dc.date.accessioned2014-03-14T21:40:49Z
dc.date.available2014-03-14T21:40:49Z
dc.date.issued1995-03-06en_US
dc.identifier.otheretd-07212009-040549en_US
dc.identifier.urihttp://hdl.handle.net/10919/43813
dc.description.abstractAggregate shape and texture are important parameters that have a direct influence on the strength and durability of the asphalt and concrete products made from these materials. Shape is characterized in terms of elongated and flat particles. Typically, a given batch of material is rejected if more than a specific percentage of particles have elongation and flatness ratios which exceed some limiting value. Present procedures for determining these ratios rely heavily on manual measurements which are time consuming and limit the sample size. A recently developed rapid shape analysis system can significantly reduce the time required for this procedure. The new system can determine elongation and flatness for a standard batch of 100 particles in under 10 minutes. The system consists of a PC-based image analyzer. Samples of crushed stone are imaged by two video cameras and the images are processed by the computer to determine the flatness and elongation distributions within the sample. Validation procedures indicate an excellent agreement between the rapid analysis system and standard manual techniques. Additionally, the system can provide two quantitative measures of particle roughness which are not measurable by current manual techniques. Preliminary analysis of shape distributions from a sampling campaign indicate that it is possible to determine the effects of crusher type and material type on shape by examining the feed and product shape distributions. Introductory work with manufactured sands indicates that the analyzer can effectively measure all four shape attributes, none of which can currently be measured by manual techniques.en_US
dc.format.mediumBTDen_US
dc.publisherVirginia Techen_US
dc.relation.haspartLD5655.V855_1995.B775.pdfen_US
dc.subjectshape analysis systemen_US
dc.subject.lccLD5655.V855 1995.B775en_US
dc.titleRapid shape characterization of crushed stone by PC-based digital image processingen_US
dc.typeThesisen_US
dc.contributor.departmentMining and Minerals Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineMining and Minerals Engineeringen_US
dc.contributor.committeechairAdel, Gregory T.en_US
dc.contributor.committeememberLuttrell, Gerald H.en_US
dc.contributor.committeememberYoon, Roe-Hoanen_US
dc.contributor.committeememberRimmer, Hughen_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-07212009-040549/en_US
dc.date.sdate2009-07-21en_US
dc.date.rdate2009-07-21
dc.date.adate2009-07-21en_US


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