首页|钻孔数字图像识别在岩体完整性评价中的应用

钻孔数字图像识别在岩体完整性评价中的应用

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为了表征工程岩体的真实完整性,依托钻孔成像技术提出一种基于蚁群算法的图像识别方法,并应用于地下洞室工程岩体完整性评价.该方法首先对钻孔图像进行灰度转换与目标细节增强;然后基于蚁群算法与形态学处理进行图像分割,对分割后的图像进行节理平均宽度测量,根据节理张开度区分闭合节理与张开节理;最后基于识别的岩体特征进行RQD计算.以澜沧江GX水电站厂房右岸洞室钻孔为例,进行钻孔数字图像识别与RQD计算,与岩芯RQD值、波速测试结果对比表明,该方法能充分考虑节理张开度对岩体物理力学性质的影响、反应工程岩体真实拓扑状态、合理评价高地应力地区的岩体完整性,提高了 RQD值的科学性与准确性,为岩体完整性评价提供了一种高效可靠的方法.
APPLICATION OF BOREHOLE DIGITAL IMAGE RECOGNITION IN THE EVALUATION OF ROCK MASS INTEGRITY
In order to characterize the engineering rock mass authentically and completely,a new image recogni-tion method is proposed relying on borehole camera technology.This method is based on Ant Colony Algorithm,and applied to the integrity evaluation of engineering rock mass.Firstly,in this image recognition method,the gray level is conversed and the target details is enhanced for borehole image,which facilitates the further identification and a-nalysis of the rock mass characteristics.Secondly,the average joint width of the image is measured after the image segmentation based on Ant Colony Algorithm and morphological processing.And then the joints are divided into closed joint and open joint according to the joint aperture degree.Finally,the RQD of rock mass is calculated based on the identified rock mass characteristics.Take the drilling hole on the right bank of GX hydropower station on Lancang River as an example.The borehole digital imaging technology and RQD calculation were analyzed by this new image recognition method.Through the comparison with the core RQD value and wave velocity test results,this new image recognition method presents the following advantages of(i)fully considering the influence of joint aper-ture degree on physical and mechanical properties of rock mass;(ii)reflecting the real topological state of engi-neering rock mass;(iii)rationally evaluating the integrity of rock mass in areas with high ground stress,and(iv)improving the scientificity and accuracy of RQD values.This work provides an efficient and reliable method for the integrity evaluation of rock mass.

Borehole imageAnt Colony AlgorithmJoint apertureRock mass integrityLarge underground cav-erns

汪华晨、孙宁、陈鸿杰、许晓逸、徐卫亚

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河海大学岩土工程科学研究所,南京 210098,中国

河海大学岩土力学与堤坝工程教育部重点实验室,南京 210098,中国

中国电建集团中南勘测设计研究院,长沙 410014,中国

华能澜沧江水电股份有限公司,昆明 650214,中国

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钻孔数字图像 蚁群算法 节理张开度 岩体完整性 大型地下洞室

2024

工程地质学报
中国科学院地质与地球物理研究所

工程地质学报

CSTPCD北大核心
影响因子:1.215
ISSN:1004-9665
年,卷(期):2024.32(6)