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基于工业CT扫描的数字煤心构建过程及裂缝形态表征
供稿: 张平;王登科;于充;曾凡超 时间: 2019-10-23 次数:

作者:张平王登科;于充;曾凡超

作者单位:河南理工大学河南省瓦斯地质与瓦斯治理重点实验室-省部共建国家重点实验室培育基地河南理工大学安全科学与工程学院煤炭安全生产河南省协同创新中心中国矿业大学深部岩土力学与地下工程国家重点实验室

摘要:为实现煤样内部裂隙结构信息的数字化,达到对其裂缝形态进行精确表征的目的,运用高精度工业显微CT,对采自安阳主焦矿的焦煤煤样进行精确扫描,利用VG Studio MAX图像分析软件,对基于CT扫描所得的可视化煤心进行裂缝提取,并对煤心的CT扫描图像进行量化分析。结果表明,基于工业显微CT扫描重建的三维数字煤心,能可靠地反映真实煤心的内部裂隙结构,图像处理软件能够对煤样中错综复杂的裂隙网络进行精确表征,满足科研工作者对裂隙煤岩体进行定量描述的要求。研究结果可为基于工业CT扫描的煤岩无损检测及数字煤心构建提供有益参考。

基金:国家重点研发计划项目(2017YFC0804207);国家自然科学基金资助项目(51774118);深部岩土力学与地下工程国家重点实验室开放基金资助项目(SKLGDUEK1814);河南省教育厅高校重点科研项目(18A620001);河南理工大学自然科学基金资助项目(J2018-1);

关键词:工业CT;裂隙结构;数字煤心;三维重建;图像处理;

DOI:10.16186/j.cnki.1673-9787.2019.6.2

分类号:TD175

Digital coal core construction process and crack characterization based on industrial CT scanning

ZHANG PingWANG DengkeYU ChongZENG Fanchao

State Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic UniversitySchool of Safety Science and Engineering, Henan Polytechnic UniversityCollaborative Innovation Center of Coal Safety Production of Henan ProvinceState Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining & Technology

Abstract:In order to accurately realize the digital characterization of the internal pore and fracture structure of coal samples, the coking coal samples collected from Anyang coal mine were scanned by high-precision industrial micro-CT.VG Studio MAX image software was used to extract cracks from the visualized coal core obtained by CT scanning, and the CT image of the coal core was quantitatively analyzed.The results showed that the three-dimensional digital core constructed by industrial micro-CT scan could reliably reflect the internal structure of raw coal, the image processing software could accurately characterize the intricate fracture network in raw coal core, so as to meet the quantitative description requirements in fractures of coal for many peer scientific researchers.The results provided a useful reference for non-destructive testing of coal and rock and digital coal core construction based on industrial CT scanning.

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