2018
DOI: 10.1680/jgeot.16.p.278
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Quantification of the morphology of shelly carbonate sands using 3D images

Abstract: This is the published version of the paper.This version of the publication may differ from the final published version. Shelly carbonate sands proliferate in regions of the world where construction of offshore structures is in high demand. These structurally weak sands have high intra-granular voids and complex angular grain shapes. To improve the understanding of the mechanical properties of the material, a detailed morphological quantification is required. This paper presents a three-dimensional characterisa… Show more

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Cited by 128 publications
(66 citation statements)
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“…While it is convenient to reduce all information from a 3D mesh to a single number, it is even more important that this number makes best use of the available information. In 19 , the curvature at each mesh vertex is calculated to identify corners. Then, the ratio between the surface area associated with these corners and the total surface area is defined as the angularity index, thus the calculated curvature values are not directly used.…”
Section: Characterisation Of Angularitymentioning
confidence: 99%
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“…While it is convenient to reduce all information from a 3D mesh to a single number, it is even more important that this number makes best use of the available information. In 19 , the curvature at each mesh vertex is calculated to identify corners. Then, the ratio between the surface area associated with these corners and the total surface area is defined as the angularity index, thus the calculated curvature values are not directly used.…”
Section: Characterisation Of Angularitymentioning
confidence: 99%
“…For comparison, the angularity index I A , introduced in 19 , will also be considered in this work. For its calculation, the radius of the largest inscribed sphere, r inscr , has to be calculated.…”
Section: Characterisation Of Angularitymentioning
confidence: 99%
See 1 more Smart Citation
“…In-house imaging processing codes were developed to first binarise the images using Otsu's thresholding and subsequently apply an iterative watershed algorithm to separate the grains touching. The codes are fully described in [8]. The key advantage of the watershed code, when compared with previously used codes, is its ability to overcome the challenges posed by the diversity and complexity of the shapes associated with the bioclastic nature of shelly sands.…”
Section: Grain-scale Characterizationmentioning
confidence: 99%
“…An additional parameter, the angularity index (I A as defined in [5]), is used to quantify the major surface irregularities, i.e., edges and corners. The index is defined such that rounded grains will yield low I A and angular grains will have high I A values, more details in [8]. These parameters definitions were such that the values will vary between 0 and 1, the latter corresponding to an ideal shape.…”
Section: Grain-scale Characterizationmentioning
confidence: 99%