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基于离散裂隙网络重构技术,借助RJNS~(3D)三维裂隙网络重构平台,探讨了采动裂隙网络重构参数的敏感性.研究结果表明:离散裂隙网络重构次数对裂隙分形特征存在略微影响,可忽略不计;裂隙类型和体积密度对裂隙分形特征存在一定敏感性,裂隙分维随着裂隙轴比的增加而减小,随着体积密度的增加而增加;测窗产状对裂隙分形特征存在一定敏感性,裂隙分维随着测窗产状与裂隙平均产状的夹角的增加有一定增长趋势;不同测窗尺寸下裂隙分维存在差异性,体积分维随着测芯尺寸的增大有明显增大趋势.
Based on the discrete fracture network reconstruction technique and the RJNS 3D reconstruction network, the sensitivity of reconstruction parameters of the mining fracture network is discussed. The results show that the fractal characteristics of the fractured fracture network are slightly different The fracture type and bulk density are sensitive to fractal characteristics of fractures. The fracture fractal dimension decreases with the increase of fracture axis ratio, and increases with the increase of bulk density. The fractal fractal dimension tends to increase with the increase of the angle between the appearance of the test window and the average shape of the fracture. The fractal dimensions of fractures are different under different measuring window sizes. The fractal dimension of fractures varies with the size of the measuring core The increase has a clear trend of increase.