Meso-Structure Quantitative Research about Coals Based on the Digital Image Processing Technology

L. Jinhui, Wu Nan, Zhu Zhen-de, L. Chunmei, Liu Qi
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引用次数: 1

Abstract

The coals of rich in cracks have low strength, large deformation and difficult to support, obtain triaxial compression test parameters by RMT-150B rock mechanics and concrete mechanical testing machine, the micro-structure of coals damage photos on coals samples fracture obtained by scanning electron microscope observations. Use the fissures information extraction software developed from MATLAB platform. This paper put forward a quantitative research idea to extract fracture morphology and the two-dimensional geometry of the coals micro-structure based on image enhancement and regional growing algorithm. At the same time, make a statistical analysis of coals samples triaxial compression fracture azimuth, width, length and other information. We obtain coals's strength and elastic modulus is lower and the presence of a large number of initial damage, with significant anisotropy and in homogeneity.
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基于数字图像处理技术的煤细观结构定量研究
富含裂纹的煤强度低、变形大、支护困难,通过RMT-150B岩石力学和混凝土力学试验机获得三轴压缩试验参数,通过扫描电镜观察得到煤样断裂时煤的微观结构损伤照片。利用MATLAB平台开发的裂缝信息提取软件。提出了一种基于图像增强和区域增长算法的裂隙形态和煤微观结构二维几何特征提取的定量研究思路。同时,对煤样三轴压缩裂缝的方位、宽度、长度等信息进行统计分析。结果表明,煤的强度和弹性模量较低,存在大量的初始损伤,具有明显的各向异性和非均匀性。
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