2012
DOI: 10.1007/s10035-012-0357-9
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Optimal description of two-dimensional complex-shaped objects using spheropolygons

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Cited by 15 publications
(4 citation statements)
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“…Details of the algorithm can be found in Refs. [34,35]. At the end the image was scaled to reflect a typical sternum dimensions of 200 × 460 mm 2 .…”
Section: A Shape Representationmentioning
confidence: 99%
“…Details of the algorithm can be found in Refs. [34,35]. At the end the image was scaled to reflect a typical sternum dimensions of 200 × 460 mm 2 .…”
Section: A Shape Representationmentioning
confidence: 99%
“…Moreover, these techniques cannot effectively simulate highly irregular shape grains characterized by a variety of internal voids and vesicles. Similar challenges are represented by other less common approaches for capturing complex granular shapes, including superquadric elements (Cleary et al, 1997;Williams & Pentland, 1992), spheropolygons (Dobrohotoff et al, 2012), and the nonuniform rational basis splines (Andrade et al, 2012).…”
Section: Introductionmentioning
confidence: 87%
“…The gravel consists of nonspherical particles with a sphericity between 0.35 and 0.87 (average: 0.75) and an aspect ratio between 1.06 and 2.49 (average: 1.49) which is both obtained by an image analysis. To represent such particles, various methods can be applied [17,18,21]. For this approximation a genetic algorithm which is part of Matlab is used.…”
Section: Shape Approximationmentioning
confidence: 99%
“…Additionally, Dobrohotoff et al [18] used spheropolygons to describe two-dimensional complex-shaped objects like pebbles, gravel and crushed shells where only a few iteration 3 steps were needed to get good results. The significant optimization of the shape was confirmed by comparing anchor pull-out and hopper discharge simulations with respective experiments.…”
Section: Introductionmentioning
confidence: 99%