2011
DOI: 10.1016/j.jsg.2011.05.006
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Clustering of fracture orientations using a mixed Bingham distribution and its application to paleostress analysis from dike or vein orientations

Abstract: The clustering and classification of fracture orientations are important in rock mechanics and in brittle tectonics, the latter of which includes the paleostress analysis of extension fractures hosting dikes or mineral veins. Here, we present an unsupervised clustering method for the orientations of extension fractures using mixed Bingham distributions. The method not only detects the elliptical clusters and girdles made by the poles to such planar features, but also determines the appropriate number of those … Show more

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Cited by 76 publications
(76 citation statements)
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“…The magma pressure that opened fractures in which dikes were formed can also now be estimated (Faye, Yamaji, Yonezu, Tindell, & Watanabe, ; Jolly & Sanderson, ). The latest methods can also separate stresses from dikes that were formed under different stress conditions (Yamaji, ; Yamaji & Sato, ).…”
Section: Introductionmentioning
confidence: 99%
“…The magma pressure that opened fractures in which dikes were formed can also now be estimated (Faye, Yamaji, Yonezu, Tindell, & Watanabe, ; Jolly & Sanderson, ). The latest methods can also separate stresses from dikes that were formed under different stress conditions (Yamaji, ; Yamaji & Sato, ).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the orientation of dikes has been used as an indicator of the stress field in volcanic fields (Nakamura, 1977;Yamaji and Sato, 2011). Dikes will be oriented parallel to the maximum stress axis in a homogeneous stress field.…”
Section: Introductionmentioning
confidence: 99%
“…It is generally recognized that joints play a pivotal role in the deformability, permeability and strength of rock masses (Goodman, 1976;Hudson and Harrison, 1997;Smith, 2004;Larsen et al, 2009;Yamaji and Sato, 2011;Ye et al, 2012a, b). Characterizing joints within a rock mass is a basic step for rock mass classification and rock engineering design (Kruhl, 2013;Stavropoulou, 2014).…”
Section: Introductionmentioning
confidence: 99%