2010
DOI: 10.1080/10298431003749725
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Three-dimensional image processing methods to identify and characterise aggregates in compacted asphalt mixtures

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Cited by 116 publications
(28 citation statements)
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“…A logical reason would be greater compaction producing a greater degree of orientation, however, this is not supported by the image analysis that showed a lower degree of orientation present in the most compact variant. As has been found in similar analysis of other materials [31] it is possible that high compaction could increase the misidentification of touching particles, as single particles, and thus this discrepancy, may be explained by a limitation of the method used.…”
Section: Discussionmentioning
confidence: 88%
“…A logical reason would be greater compaction producing a greater degree of orientation, however, this is not supported by the image analysis that showed a lower degree of orientation present in the most compact variant. As has been found in similar analysis of other materials [31] it is possible that high compaction could increase the misidentification of touching particles, as single particles, and thus this discrepancy, may be explained by a limitation of the method used.…”
Section: Discussionmentioning
confidence: 88%
“…CT scanning has been applied to visualize and characterize the crack distribution, mineral dissemination, particle size distribution, porosity, particle shape and mineral exposure in many studies of different materials, such as sulfide ores and asphalt mixture [14,18,21,22]. CT can also be applied to analyze the mineral composition of individual particles [16].…”
Section: Introductionmentioning
confidence: 99%
“…However, tomographic images of asphalt concrete must be obtained before using http image processing technique, thereafter, three dimensional finite element model (3D-FEM) can be reconstructed by digital image processing (DIP), and image analysis, such as fractal dimension of concrete cracks, can be investigated [7][8][9]. The advantage is that the reconstructed microstructures provide an effective representation for actual microstructure comparing with random generation method [10][11][12].…”
Section: Introductionmentioning
confidence: 99%