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A Study of Statistical Analysis of Rock Joint Directional Data  

류동우 (지하정보기술(주), 부설기술연구소)
김영민 (쌍용자원개발(주)
이희근 (서울대학교 공과대학)
Publication Information
Tunnel and Underground Space / v.12, no.1, 2002 , pp. 19-30 More about this Journal
Abstract
Rock joint orientation is one of important geometric attributes that have an influence on the stability of rock structures such as rock slopes and tunnels. Especially, statistical models of the geometric attributes of rock joints can provide a probabilistic approach of rock engineering problems. The result from probabilistic modeling relies on the choice of statistical model. Therefore, it is critical to define a representative statistical model for joint orientation data as well as joint size and intensity and build up a series of modeling procedure including analytical validation. In this paper, we have examined a theoretical methodology for the statistical estimate and hypothesis analysis based upon Fisher distribution and bivariate normal distribution. In addition, we have proposed the algorithms of random number generator which is applied to the simulation of rock joint networks and risk analysis.
Keywords
joint orientation; Fisher distribution; bivariate normal distribution; statistical analysis; random number generator;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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