A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Coarse aggregate shape and size properties using a new image analyzer
Automation of coarse aggregate shape and size determination using image analysis techniques is described in this paper as an alternative approach to current manual and time-consumping test procedures. A new image analyser system, referred to as the University of Illinois Aggregate Image Analyzer (UI-AIA), uses a three-camera setup to view each aggregate particle form three orthogonal directions. Both volume (and therefore weight) and shape factors can be determined precisely for each particle based on sound image analysis and geometric principles. In addition, the grain size distribution of an aggregate sample can be determined. Tests conducted on ten aggregate samples were used to evaluate the performance of the laboratory prototype UI-AIA in automating the standard ASTM D 4791-99, Standard Test Method for Flat Particles, Elongated Particles, or Flat and Elongated Particles in Coarse Aggregate and ASTM C 136-96a, Standard Method of Test for Sieve Analysis of Fine and Coarse Aggregates. The accuracy and repeatability of the imaging technique were evaluated for the computed aggregate volumes, percent by weight flat and elongated ratios, and gradation curves. Results from the new UI-AIA were in very good agreement with the manual measurements performed in two separate laboratories to ensure their exactness. The UI-AIA has scope for further modifications and improvements.
Coarse aggregate shape and size properties using a new image analyzer
Automation of coarse aggregate shape and size determination using image analysis techniques is described in this paper as an alternative approach to current manual and time-consumping test procedures. A new image analyser system, referred to as the University of Illinois Aggregate Image Analyzer (UI-AIA), uses a three-camera setup to view each aggregate particle form three orthogonal directions. Both volume (and therefore weight) and shape factors can be determined precisely for each particle based on sound image analysis and geometric principles. In addition, the grain size distribution of an aggregate sample can be determined. Tests conducted on ten aggregate samples were used to evaluate the performance of the laboratory prototype UI-AIA in automating the standard ASTM D 4791-99, Standard Test Method for Flat Particles, Elongated Particles, or Flat and Elongated Particles in Coarse Aggregate and ASTM C 136-96a, Standard Method of Test for Sieve Analysis of Fine and Coarse Aggregates. The accuracy and repeatability of the imaging technique were evaluated for the computed aggregate volumes, percent by weight flat and elongated ratios, and gradation curves. Results from the new UI-AIA were in very good agreement with the manual measurements performed in two separate laboratories to ensure their exactness. The UI-AIA has scope for further modifications and improvements.
Coarse aggregate shape and size properties using a new image analyzer
Neuer Bildanalysator für grobe Aggregatform und Größenbestimmung
Rao, C. (author) / Tutumluer, E. (author) / Stefanski, J.A. (author)
Journal of Testing and Evaluation ; 29 ; 461-471
2001
11 Seiten, 8 Bilder, 3 Tabellen, 19 Quellen
Article (Journal)
English
Coarse Aggregate Shape and Size Properties Using a New Image Analyzer
| British Library Online Contents | 2001
Particle size and shape analysis of coarse aggregate using digital image processing
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Particle shape analysis of coarse aggregate using digital image processing
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PAPERS - Particle shape analysis of coarse aggregate using digital image processing
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