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Estimation of joint length distribution using window sampling

Cited 47 time in Web of Science Cited 59 time in Scopus
Authors
Song, Jae-Joon; Lee, Chung-In
Issue Date
2001-03-18
Publisher
Elsevier
Citation
International Journal of Rock Mechanics & Mining Sciences 2001; 38:519-528
Abstract
One of the most difficult procedures in statistical joint modeling is the determination of the joint length distribution. In this study, a window sampling method was adopted to estimate the trace length distribution for the Poisson disk joint model. Four kinds of equations were derived for estimating the trace length distribution from containde or dissecting trace length distribution in a rectangular or circular window. The equations were tested for accuracy through Monte Carlo simulation and their efficiencies for estimating the trace length distribution were compared. This new technique using window sampling was compared with the method using a semi-trace or complete trace length distribution from scanline sampling. A numerical technique for determining the diameter distribution from the trace length distribution was also suggested. To check the validity of this numerical method, it was applied to solving four example cases and their results were compared with theoretical solutions.
ISSN
1365-1609
Language
English
URI
http://hdl.handle.net/10371/67648
DOI
https://doi.org/10.1016/S1365-1609(01)00018-1
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Energy Systems Engineering (에너지시스템공학부)Journal Papers (저널논문_에너지시스템공학부)
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