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Estimation of a joint diameter distribution by an inplicit scheme and interpolation technique

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dc.contributor.authorSong, Jae-Joon-
dc.date.accessioned2010-07-06T06:07:24Z-
dc.date.available2010-07-06T06:07:24Z-
dc.date.issued2006-
dc.identifier.citationInt J Rock 2006;43: 512-519en
dc.identifier.issn1365-1609-
dc.identifier.urihttps://hdl.handle.net/10371/68323-
dc.description.abstractA new technique to estimate the diameter distribution of a joint set from the contained trace length distribution is suggested. This
technique obtains the diameter distribution directly from the sample histogram of the contained trace lengths without using any
information about the trace length distribution of an infinite window. Compared with the previous method of Song and Lee [Estimation
of joint length distribution using window sampling. Int J Rock Mech Mining Sci 2001; 38: 519–28], it is more accurate for small-size joint
samples. To obtain more accurate estimates, we adopt an interpolation technique of B-spline to smooth out the sampled contained trace
length distribution. The effect of the B-spline as a function of three kinds of predefined diameter distributions is examined by Monte
Carlo simulations.
en
dc.description.sponsorshipThis paper was funded by the Korea Institute of
Construction and Transportation Technology Evaluation
and Planning under the Ministry of Construction and
Transportation in Korea (Grant No. 04-C01).
en
dc.language.isoenen
dc.publisherElsevieren
dc.subjectImplicit schemeen
dc.subjectDiameter distributionen
dc.subjectContained trace lengthen
dc.subjectB-splineen
dc.titleEstimation of a joint diameter distribution by an inplicit scheme and interpolation techniqueen
dc.typeArticleen
dc.contributor.AlternativeAuthor송재준-
dc.identifier.doi10.1016/j.ijrmms.2005.09.009-
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