• Title/Summary/Keyword: Joint Center Volume (JCV)

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Calculation of Joint Center Volume (JCV) for Estimation of Joint Size Distribution in Non-Planar Window Survey (비평면 조사창에서의 암반절리 크기분포 추정을 위한 Joint Center Volume (JCV) 산정 기법 제안)

  • Lee, Yong-Ki;Song, Jae-Joon
    • Tunnel and Underground Space
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    • v.29 no.2
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    • pp.89-107
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    • 2019
  • Rock joints have an extremely important role in analyzing the mechanical stability and hydraulic characteristics of rock mass structures. Most rock joint parameters are generally indicated as a distribution by statistical techniques. In this research, calculation technique of Joint Center Volume (JCV) is analyzed, which is required for estimating the size distribution having the largest uncertainty among the joint parameters, then a new technique is proposed which is applicable regardless of the shape of survey window. The existing theoretical JCV calculation technique can be applied only to the plane window, and the complete enumeration techniques show the limitations in joint trace type and analysis time. This research aims to overcome the limitations in survey window shape and joint trace type through calculating JCV by using Monte Carlo simulation. The applicability of proposed technique is validated through the estimation results at non-planar survey windows such as curved surface and tunnel surface.

A Study for the Estimation of Joint Diameter Distribution Using the Trace Length Distribution from Cylindrical Window Survey (원통형조사창에서의 절리선 길이분포를 이용한 암반 내 절리직경분포 추정에 관한 연구)

  • Jeon, Ki-Hwan;Song, Jae-Joon;Jo, Young-Do
    • Tunnel and Underground Space
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    • v.21 no.5
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    • pp.386-393
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    • 2011
  • This study suggests an algorithm for estimating joint diameter distribution in rock mass from the joint trace length distribution around a circular tunnel. For estimating the joint diameter distribution, the concept of Joint Center Volume (JCV) suggested by Song. (2005) was applied and the calculation method of JCV for the cylindrical window survey was developed by using the complete survey method. The estimated joint diameter distribution was verified against the original joint diameter distribution by Monte-Carlo simulation. It was observed that the estimated joint diameter distribution was converged to the original joint diameter distribution with less than 20% of error.