2015
DOI: 10.1038/srep09147
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Universality of fragment shapes

Abstract: The shape of fragments generated by the breakup of solids is central to a wide variety of problems ranging from the geomorphic evolution of boulders to the accumulation of space debris orbiting Earth. Although the statistics of the mass of fragments has been found to show a universal scaling behavior, the comprehensive characterization of fragment shapes still remained a fundamental challenge. We performed a thorough experimental study of the problem fragmenting various types of materials by slowly proceeding … Show more

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Cited by 95 publications
(80 citation statements)
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References 47 publications
(97 reference statements)
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“…(7). Similar self-affinity of fragment shapes has been found in the explosive fragmentation of shells [30]; however, for dynamic breakup of bulk materials the shape of pieces does not have this feature [31,32]. If we now use…”
Section: Statistics and Geometry Of Fragmentsmentioning
confidence: 99%
“…(7). Similar self-affinity of fragment shapes has been found in the explosive fragmentation of shells [30]; however, for dynamic breakup of bulk materials the shape of pieces does not have this feature [31,32]. If we now use…”
Section: Statistics and Geometry Of Fragmentsmentioning
confidence: 99%
“…(a) Relationship between a and b / a of igneous textured clasts (yellow outlines) and mineral clasts (green outlines) resemble the common relation found for fragmented rocks in Domokos et al . [] (gray data sets with x symbols). Well‐rounded limestone clasts (gray data set with triangles, limestone fragments abraded in the laboratory from Szabó et al .…”
Section: Shape and Size Analysis Of Clastsmentioning
confidence: 99%
“…Traditional measurement techniques often incorporate personal factors or rely on the verbal characterization of the shape (Wentworth, 1923;Boggs, 2001) to approximate these values. The number of stable (S) and unstable (U ) mechanical equilibria of a particle as a shape descriptor gained significant attention recently (Domokos et al, 2009; Miller et al, 2014;Domokos et al, 2015;Novák-Szabó et al, 2018) and it is not only insensitive for small measurement errors, but it also has a rich mathematical literature (Grayson, 1987;Domokos et al, 2015;Domokos and Lángi, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Traditional measurement techniques often incorporate personal factors or rely on the verbal characterization of the shape (Wentworth, 1923;Boggs, 2001) to approximate these values. The number of stable (S) and unstable (U ) mechanical equilibria of a particle as a shape descriptor gained significant attention recently (Domokos et al, 2009; Miller et al, 2014;Domokos et al, 2015;Novák-Szabó et al, 2018) and it is not only insensitive for small measurement errors, but it also has a rich mathematical literature (Grayson, 1987;Domokos et al, 2015;Domokos and Lángi, 2019).It is beneficial to switch from the traditional hand-measurements to automated shape analysis of the particles to avoid personal bias. Recently, several works appeared aiming to reduce subjectivity by automatically calculating shape properties from 2D digital images of the particles (Roussillon et al, 2009;Durian et al, 2007;Cassel et al, 2018;Cheng et al, 2018), 25 3D laser scanning (Hayakawa and Oguchi, 2005; Anochie-Boateng et al, 2013) or X-ray CT (Deiros Quintanilla et al, 2019).…”
mentioning
confidence: 99%