重构裂隙网络定量描述方法及各向异性特征研究

来源 :岩土工程学报 | 被引量 : 0次 | 上传用户:zhmj1985
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错综复杂的裂隙网络为岩体渗流提供了主要通道。定量角度表征裂隙网络各向异性特征是裂隙岩体渗流研究的重要基础工作。基于离散裂隙网络重构技术,依托RJNS3D三维裂隙网络重构平台,探讨了离散裂隙网络有效定量描述指标,采用测窗法定量研究了离散裂隙网络的各向异性特征。研究结果表明:裂隙密度、裂隙分维、CI值以及相对无量纲密度四个指标能够较好地定量描述裂隙网络的无序性和连通性;当测窗垂直于具有裂隙平均产状的平面时,易于形成复杂程度较高、连通程度较好的裂隙网络,其定量描述指标明显高于其它方向,呈现出明显的各向异性特征;相对各指标平均值而言,二维裂隙密度差异性系数达到0.111~0.493,裂隙分维差异性系数达到0.015~0.072,CI值差异性系数达到0.007~0.180,相对无量纲密度差异性系数达到0.008~0.724;以往用裂隙分维这一单定量指标描述裂隙网络各向异性特征有所欠缺,选取多指标或者选取差异性最为明显的相对无量纲密度较为合理。工程应用分析表明,裂隙网络重构技术和测窗法的运用能够实现裂隙网络各向异性特征的定量描述,为裂隙岩体渗流特征研究奠定基础。 The intricate fracture network provides the main channel for rock mass seepage. Quantitatively characterizing the anisotropy of fractured network is an important basic work in the study of fractured rock mass seepage. Based on the discrete fracture network reconstruction technique and the RJNS3D 3D fracture network reconstruction platform, the effective quantitative description index of discrete fracture network is discussed, and the window property method is used to quantitatively study the anisotropic characteristics of the discrete fracture network. The results show that the fractal density, fracture fractal dimension, CI value and relative dimensionless density can well describe the disorder and connectivity of fracture network well. When the measuring window is perpendicular to the plane with the average fracture shape , It is easy to form a fracture network with higher complexity and better connectivity. The quantitative description of the fracture network is obviously higher than other directions and shows obvious anisotropy characteristics. For the average of each index, the difference coefficient of two-dimensional fracture density Reaching 0.111 ~ 0.493, fractal fractal dimensionality difference coefficient reached 0.015 ~ 0.072, CI value difference coefficient reached 0.007 ~ 0.180, and relative dimensionless density difference coefficient reached 0.008 ~ 0.724. Fracture dimension was used to describe fracture The characteristics of network anisotropy are lacking. It is more reasonable to select multiple indicators or select the relative dimensionless density with the most obvious difference. Engineering application analysis shows that the application of the fracture network reconstruction technique and the window detection method can quantitatively describe the anisotropic characteristics of the fracture network, which lays the foundation for the study on the seepage characteristics of fractured rock mass.
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