刘健, 王驹, 陈亮, 等. 2021. 节理迹线中点密度修正方法的探讨[J]. 工程地质学报, 29(4): 1148-1154. doi: 10.13544/j.cnki.jeg.2019-498.
    引用本文: 刘健, 王驹, 陈亮, 等. 2021. 节理迹线中点密度修正方法的探讨[J]. 工程地质学报, 29(4): 1148-1154. doi: 10.13544/j.cnki.jeg.2019-498.
    Liu Jian, Wang Ju, Chen Liang, et al. 2021. Discussion on correction methods of estimating midpoint density of joint traces[J]. Journal of Engineering Geology, 29(4): 1148-1154. doi: 10.13544/j.cnki.jeg.2019-498.
    Citation: Liu Jian, Wang Ju, Chen Liang, et al. 2021. Discussion on correction methods of estimating midpoint density of joint traces[J]. Journal of Engineering Geology, 29(4): 1148-1154. doi: 10.13544/j.cnki.jeg.2019-498.

    节理迹线中点密度修正方法的探讨

    DISCUSSION ON CORRECTION METHODS OF ESTIMATING MIDPOINT DENSITY OF JOINT TRACES

    • 摘要: 节理迹线中点密度是描述岩体露头节理分布特征的重要指标。由于露头或测窗尺寸的限制、节理迹长的差异以及露头面和节理面夹角的变化,常规的迹线中点密度计算方法通常包含尺寸、截长和角度误差。本文首先介绍了截长、尺寸和角度误差的修正原理,继而将角度误差修正系数引入到关联点密度计算方法中,提出了凸面测窗条件下同时修正截长、尺寸和角度误差的迹线中点密度计算方法。利用三维节理网络建模技术,模拟生成不同方位、不同大小和不同形状的测窗,系统分析了尺寸、截长和角度误差对迹线中点密度的影响,验证了新方法的有效性。最后,针对我国高放废物地质处置北山坑探设施的硐口岩体露头,实现了节理迹线中点密度分析。上述算例和应用表明,新方法可以有效地修正截长、尺寸和角度误差,可以为估算岩体节理分布密度提供更为可靠的依据。

       

      Abstract: The midpoint density of joint traces at outcrop is an important index for identifying the distribution characteristics of joint. However,the calculated results of midpoint density generally contain censoring,size and orientation biases,because of the factors including the limited size of outcrop or survey window,the difference in trace-length and the variation of the included angle between the outcrop and the joint. Therefore,we firstly present the conventional methods of correcting the censoring,size and orientation biases,and then propose a new method of correcting the above biases by importing the correction coefficient of orientation bias into the end-point estimator. We systematically test the proposed method by generating a 3D discrete joint network model and calculating the midpoint densities of joint traces from survey windows with different orientations,sizes and shapes. Finally,we use the proposed method to estimate the midpoint density of joint traces at a real outcrop,located at the entrance of the Beishan Exploration Tunnel(BET) in Gansu Province,China. The calculation example and the case study indicate that the proposed method is effective in correcting the censoring,size and orientation biases. The proposed method provides a reliable tool to estimate the density of joint randomly distributed in rock mass.

       

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