基于光反射率突变的受力岩石裂纹提取方法

高祥; 高亚楠

doi:10.13272/j.issn.1671-251x.2022040066

基于光反射率突变的受力岩石裂纹提取方法

doi: 10.13272/j.issn.1671-251x.2022040066

高祥^{1, 2,},
高亚楠^1, ,

1.
安徽理工大学矿业工程学院, 安徽淮南　232001
2.
安徽理工大学深部煤矿采动响应与灾害防控国家重点实验室, 安徽淮南　232001

基金项目: 安徽理工大学引进人才基金资助项目(13210153) 。

详细信息

作者简介:
高祥(1990—)，男，河南周口人，讲师，博士，主要从事矿山岩石力学研究工作，E-mail：gaoxiang1606@163.com

通讯作者:
高亚楠(2002—)，男，安徽蚌埠人，本科在读，研究方向为智能采矿工程，E-mail：3351613411@qq.com

中图分类号: TD315
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- 文章访问数: 246
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- 被引次数: 0
出版历程
- 收稿日期: 2022-04-24
- 修回日期: 2022-08-10
- 网络出版日期: 2022-06-27

Method for extracting stressed rock crack based on light reflectivity mutation

GAO Xiang^{1, 2
,},
GAO Yanan^{1
, ,}

1.
School of Mining Engineering, Anhui University of Science and Technology, Huainan 232001, China
2.
State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mine, Anhui University of Science and Technology, Huainan 232001, China

摘要

摘要: 裂纹识别与提取是认识围岩裂纹演变规律的基础。针对目前基于可见光照片的受力岩石裂纹提取方法对由多色矿物组成的复杂岩石（如花岗岩）裂纹提取效果较差的问题，提出一种基于光反射率突变的受力岩石裂纹提取方法。该方法包括光反射率计算、光反射率突变点识别、光反射率突变点空间分异性分析、裂纹信息提取4个关键步骤。裂纹发育引起的光反射率突变点在空间上的分异性是识别裂纹的关键特征，因此，引入反映空间点分布集中程度的指标−分异系数C，根据光反射率突变点的空间分异性判断数字图像中是否存在裂纹。判断出数字照片中存在裂纹后，一方面，通过光反射率变化速率反映裂纹活动的瞬时信息，以研究试件在何时、何处有裂纹产生或扩展；另一方面，提取出裂纹活动的累积信息，以分析一段时间内岩石表面裂纹的发育、扩展情况及贯通程度。实验结果表明：① 受力岩石裂纹发育、扩展可引起光反射率突变，突变速率可达0.2/s，远大于由其他随机因素导致的变化速率（0.03/s）。② 在裂纹活动时刻，光反射率突变点呈显著的空间分异现象（C值可达189），分异系数远大于随机分布时的值（C值为1）。③ 所提方法能够提取出裂纹活动的瞬时信息和累积信息。最后讨论了岩石破裂过程中光反射率变化的原因、所提方法的岩石力学意义及其在巷道安全巡检中的应用前景。
- 巷道围岩 /
- 裂纹识别 /
- 裂纹提取 /
- 光反射率 /
- 光反射率突变点 /
- 空间分异性 /
- 分异系数
Abstract: The crack identification and extraction is the basis of understanding the evolution law of surrounding rock cracks. The existing methods for extracting stressed rock cracks based on visible light photos are poor in extracting the cracks of complex rocks (such as granite) composed of polychromatic minerals. In order to solve the problem, a method for extracting stressed rock cracks based on light reflectivity mutation is proposed. The method comprises four key steps of light reflectivity calculation, light reflectivity mutation point identification, light reflectivity mutation point space heterogeneity analysis and crack information extraction. The spatial differentiation of the mutation points of light reflectivity caused by crack growth is the key characteristic of crack identification. Therefore, the index-differentiation coefficient C, which reflects the concentration degree of spatial point distribution, is introduced. It is used to judge whether there is a crack in the digital image according to the spatial differentiation of the mutation points of light reflectivity. After the crack in the digital photo is judged, on one hand, the instantaneous information of the crack activity is reflected through the change speed of the light reflectivity, so as to study when and where cracks occur or expand in the specimen. On the other hand, the cumulative information of crack activity is extracted to analyze the development, propagation and penetration degree of rock surface cracks over a period of time. The experimental result shows that: ① The development and propagation of stress cracks in rock can cause the mutation of light reflectivity. The mutation speed can reach 0.2/s, which is much larger than the change speed (0.03/s) caused by other random factors. ② At the crack active time, the mutation point of light reflectance shows significant spatial differentiation (C value can reach 189), and the differentiation coefficient is much larger than that in random distribution (C value is 1). ③ The proposed method can extract the instantaneous information and cumulative information of crack activity. Finally, the reason for the change of light reflectivity during rock crack, the significance of rock mechanics of the proposed method and its application prospect in roadway safety inspection are discussed.
- surrounding rock of roadway /
- crack identification /
- crack extraction /
- light reflectivity /
- light reflectivity mutation point /
- spatial differentiation /
- differentiation coefficient

HTML全文

图 1 受力岩石裂纹提取流程

Figure 1. Crack extraction process of stressed rock

下载: 全尺寸图片幻灯片

图 2 受力岩石裂纹提取实验系统

Figure 2. Experimental system of crack extraction of stressed rock

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图 3 标准板灰度分析结果

Figure 3. Grayscale analysis results of standard plates

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图 4 AR₀区域裂纹活动前后照片

Figure 4. Photographs of AR₀ region before and after crack activity

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图 5 AR₀区域裂纹活动前后光反射率变化速率空间分布

Figure 5. Spatial distribution of change speed of light reflectivity before and after crack activity in AR₀ region

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图 6 AR₀ 区域无裂纹活动时刻光反射率变化速率直方图

Figure 6. Histogram of light reflectivity variation at the time without crack activity in AR₀ region Histogram of light reflectivity variation

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图 7 光反射率突变点空间分布

Figure 7. Spatial distribution of mutation points of light reflectivity

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图 8 试件加载过程中光反射突变点分异系数变化曲线

Figure 8. The variation curve of differentiation coefficient of mutation points of light reflectivity during specimen loading process

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图 9 试件加载过程中声发射突变率变化曲线

Figure 9. The variation curve of acoustic emission mutation rate during specimen loading process

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图 10 裂纹发育、扩展瞬时信息

Figure 10. Instantaneous information of crack development and propagation

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图 11 裂纹发育、扩展累积信息

Figure 11. Accumulation information of crack development and propagation

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图 12 试件破坏过程中光反射率变化空间分布

Figure 12. Spatial distribution of light reflectivity changes during specimen failure

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图 13 基于光反射率突变的花岗岩试件裂纹提取结果

Figure 13. Crack extraction results of granite specimens based on mutation of light reflectivity

下载: 全尺寸图片幻灯片

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