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王长盛, 翟培城, 王林森, 王春光, 张学朋, 吴学震, 蒋宇静. 基于Micro-CT技术的煤岩裂隙精细表征[J]. 煤炭科学技术, 2017, (4).
引用本文: 王长盛, 翟培城, 王林森, 王春光, 张学朋, 吴学震, 蒋宇静. 基于Micro-CT技术的煤岩裂隙精细表征[J]. 煤炭科学技术, 2017, (4).
Wang Changsheng Zhai Peicheng Wang Linsen Wang Chunguang Zhang Xuepeng Wu Xuezhen Jiang Yujing, . Careful features of lithotype cracks based on Micro-CT technology[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (4).
Citation: Wang Changsheng Zhai Peicheng Wang Linsen Wang Chunguang Zhang Xuepeng Wu Xuezhen Jiang Yujing, . Careful features of lithotype cracks based on Micro-CT technology[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (4).

基于Micro-CT技术的煤岩裂隙精细表征

Careful features of lithotype cracks based on Micro-CT technology

  • 摘要: 为了表征完整煤样裂隙开度及空间展布,采用高精度Micro-CT扫描技术分析新巨龙煤矿的样品的裂隙结构。根据CT图像中裂隙周边CT数分布规律及三维可视化技术,对煤岩裂隙开度、分布和空间配置等参数进行精细表征。研究结果表明:运用高斯函数可以克服裂隙两侧CT数由于非均质造成波动,较为准确拟合裂隙CT数曲线的衰减规律;利用高斯函数的峰度(PH)与曲线面积(MA)对裂隙分布形态进行测量,当裂隙开度较小时(0.24 mm),MA法测量有较高的准确度;通过煤岩三维重建的裂隙3D可视化模型,可清晰识别煤中裂隙空间分布形态。根据三维裂隙区域中197个特征位置CT数分布的误差分析表明,采用参数PH法测量的平均误差为14.3%,而采用MA法测量的平均误差为17.1%,说明PH法具有较高的准确度。

     

    Abstract: In order to characterize the fracture aperture and spatial distribution of the completed coal sample, the high precision Micro-CT scanning technology was applied to analyze th e crack structures of the coal samples from Xinjulong Mine. According to the CT number distribution of the crack surrounding in the CT image and 3D visualization technology, a fine characterization was conducted on the coal and rock crack apertures, distribution, space allocation and the parameters. The study result showed that the application of the Gauss function could overcome the CT numbers along the two sides of the cracks, due to the fluctuation caused by the heterogeneity and could well fit the attenuation law of the crack CT number curve. The kurtosis of the Gauss function and the curve area were applied to measure the crack distribution shape. When the crack aperture value was small ( 0.24 mm) , the measurement with the MA method would have high accuracy. The crack 3D visualized model could be reconstructed with the coal and rock 3D and could clearly recognize the crack space distribution shape in the coal. According to 197 feature locations in the 3D crack area, the error analysis of the CT number showed that the average error measured with the parameter PH measurements were 14 .3%. The average error measured with the MA method measurement was 17 .1%. The study results showed that PH method has higher accuracy.

     

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