2020
DOI: 10.1016/j.cemconres.2019.105962
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Gradient-based fibre detection method on 3D micro-CT tomographic image for defining fibre orientation bias in ultra-high-performance concrete

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Cited by 43 publications
(8 citation statements)
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“…computed the grey level co‐occurrence matrix (GLC Matrix) 23 . Miletić et al 24 . used the greyscale gradient of the images to track the surface of each fibre.…”
Section: Introductionmentioning
confidence: 99%
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“…computed the grey level co‐occurrence matrix (GLC Matrix) 23 . Miletić et al 24 . used the greyscale gradient of the images to track the surface of each fibre.…”
Section: Introductionmentioning
confidence: 99%
“…Eberhardt and Clarke 21 used the chord lengths whereas Naouar et al 22 computed the grey level co-occurrence matrix (GLC Matrix). 23 Miletić et al 24 used the greyscale gradient of the images to track the surface of each fibre.…”
Section: Introductionmentioning
confidence: 99%
“…UHPC has a dense micro-structure, thus possessing unique merits such as high strength, high durability, and high crack resistance [ 1 ]. A number of studies have been conducted on enhancing or understanding the mechanical properties of UHPC [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. Although UHPC has a number of advantages, widespread usage of UHPC has not been achieved and UHPC has only been used in structures for particular purposes (e.g., low-weight, large-span structures, fatigue strengthening of bridge decks, or durability upgrading of structures in harsh marine environments) [ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ] due to a lack of design codes [ 20 ].…”
Section: Introductionmentioning
confidence: 99%
“…The most comprehensive method for characterising the distribution and orientation of fibres in a specimen is X-ray tomography [ 13 , 14 ]. However, due to its high cost and limitations in terms of the size of the specimen analysed (which depends on the capacity of the tomograph) it is not currently applicable on the industrial scale.…”
Section: Introductionmentioning
confidence: 99%