| 基于CT图像的花岗岩矿物组分与细观结构分析 |
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| 引用本文： | 毛伟泽,吕庆,郑俊,彭宇,刘健.基于CT图像的花岗岩矿物组分与细观结构分析[J].工程地质学报(英文版),2022,30(1):216-222. |
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| 作者姓名： | 毛伟泽 吕庆 郑俊 彭宇 刘健 |
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| 作者单位： | ①.浙江大学建筑工程学院，杭州310058，中国 |
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| 基金项目： | 浙江省交通运输厅科技计划项目;国家自然科学基金 |
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| 摘 要： | 获取准确的岩石矿物组分与细观结构特征，对从细观层面认识岩石宏观力学性质具有重要意义。CT扫描技术是研究岩石矿物细观结构的有力工具。本文采用高分辨率三维CT扫描系统，获得了花岗岩CT扫描图像；采用阈值分割的方法，综合X射线衍射试验结果确定合理的分割阈值，实现了对花岗岩CT灰度图像的三值化分析；最终获得了花岗岩的主要矿物含量与细观结构特征。研究结果表明:选择合理的分割阈值，可实现花岗岩主要矿物石英、长石、云母的自动识别和定量分析；基于三维重构模型，可获得不同矿物的形状、粒径和空间分布特征。本文方法对定量测试岩石矿物组分和认识其细观结构具有一定的参考意义和价值。
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| 关 键 词： | 花岗岩 CT图像 X射线衍射 矿物组分 细观结构 |
| 收稿时间： | 2020-04-17 |
ANALYSIS OF MINERAL COMPOSITION AND MESO-STRUCTURE OF GRANITE USING CT IMAGES |
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| MAO Weize,Lü Qing,ZHENG Jun,PENG Yu,LIU Jian.ANALYSIS OF MINERAL COMPOSITION AND MESO-STRUCTURE OF GRANITE USING CT IMAGES[J].Journal of Engineering Geology,2022,30(1):216-222. |
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| Authors: | MAO Weize LÜ Qing ZHENG Jun PENG Yu LIU Jian |
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| Institution: | ①.College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China②.Zhejiang Highway and Water Transportation Engineering Consulting Limited Liability Company, Hangzhou 310006, China |
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| Abstract: | It is of great significance to obtain accurate mineral composition of rock and the meso-structure of minerals to study the macroscopic mechanical properties of rock from the meso-level. CT scanning technology is a powerful tool for studying the meso-structure of rocks. In this paper, we use a high-resolution 3 D CT scanning system to obtain CT images of granite. We determine reasonable segmentation thresholds by considering the results of X-ray diffraction test. And then, we realize the three-valued analysis of CT grayscale images of granite by threshold segmentation method. Finally, we obtain the main mineral content and meso-structure characteristics of granite. The results show that the main minerals of granite, i.e., quartz, feldspar, and mica can be identified and quantitatively determined by using reasonable segmentation thresholds. Based on the 3 D reconstruction model, we can obtain the shape, the particle size, and the spatial distribution characteristics of different minerals. The method proposed in this paper can provide some references for testing the rock mineral composition quantitatively and understanding their meso-structures. |
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| Keywords: | Granite CT images X-ray diffraction Mineral composition Meso-structure |
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