陈祥军, 马凤山, 王思敬, 程国明. 2004: 溶蚀岩体随机结构模型建立及其在岩体渗漏评价中的应用. 工程地质学报, 12(2): 193-198.
    引用本文: 陈祥军, 马凤山, 王思敬, 程国明. 2004: 溶蚀岩体随机结构模型建立及其在岩体渗漏评价中的应用. 工程地质学报, 12(2): 193-198.
    CHEN Xiangjun, MA Fengshan, WANG Sijing, CHENG Guoming. 2004: THE STOCHASTIC STRUCTURE MODEL OF KARSTIC ROCK AND ITS APPLICATIONS IN LEAKAGE EVALUATION. JOURNAL OF ENGINEERING GEOLOGY, 12(2): 193-198.
    Citation: CHEN Xiangjun, MA Fengshan, WANG Sijing, CHENG Guoming. 2004: THE STOCHASTIC STRUCTURE MODEL OF KARSTIC ROCK AND ITS APPLICATIONS IN LEAKAGE EVALUATION. JOURNAL OF ENGINEERING GEOLOGY, 12(2): 193-198.

    溶蚀岩体随机结构模型建立及其在岩体渗漏评价中的应用

    THE STOCHASTIC STRUCTURE MODEL OF KARSTIC ROCK AND ITS APPLICATIONS IN LEAKAGE EVALUATION

    • 摘要: 针对中小规模裂隙和溶蚀洞穴造成的溶蚀岩体渗漏 ,本文提出了溶蚀岩体渗漏评价的一种新思路 :首先对现场开挖所揭露的有限的裂隙和溶蚀洞穴观测资料进行统计分析 ,利用统计分析结果建立溶蚀岩体随机结构模型 ;然后根据随机结构模型所反映出的裂隙和溶蚀洞穴有关参数计算渗透参数 ;最后结合区域水力学条件计算岩体渗漏量。多次模拟后可以得到渗漏量的分布规律。其中 ,建立合理的随机结构模型是关系本方法成败的关键 ,文中给出了建立溶蚀岩体随机结构模型的步骤 ,提供了随机模拟的编程思路和程序框图 ,并结合具体的工程实例对该方法的应用前景进行了讨论

       

      Abstract: A new method to evaluate leakage of karstic rock is introduced in this paper. The first step of the method is to establish a stochastic structure model of karstic rock using the data from the in situ measurement. The second step is to calculate the hydraulic conductivity tensor of karstic rock using the data from the stochastic structure model. The third step is to assess the leakage using the calculated hydraulic conductivity tensor based on the regional hydraulic condition. Then the distribution of leakage can be characterized by repeating the model runs. Among these three steps the first one is the most important and difficult step. At the end, the authors present a case study to demonstrate procedures and flow chart of the model development and its applications in engineering projects.

       

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