基于三维激光扫描技术的岩体结构面智能识别与信息提取

发布时间：2018-07-04 07:33

本文选题：岩石力学 + 三维激光扫描　；参考：《岩石力学与工程学报》2017年12期

【摘要】：岩体结构面几何参数是评价岩体稳定性与渗流特征的重要研究基础。采用三维激光扫描技术,获取岩体露头点云数据,利用改进的区域生长法与解析几何理论,实现了岩体结构面智能识别与信息提取。研究结论如下:(1)通过对区域生长法进行改进,引入节点法向量判别指标,设置平整性检测阈值沆_1与区域生长阈值沆_2,可以有效地进行岩体结构面的智能识别。基于提出的信息提取算法,获取了识别结构面的产状、间距与尺寸信息;(2)选取不同的平整性检测阈值沆_1与区域生长阈值沆_2,研究了阈值对识别结果的影响规律,并提取了阈值选取的一般建议。通过规则平面与公路边坡两实例应用分析,对所提方法的可靠性进行了验证。
[Abstract]:The geometric parameters of rock structure plane are the important research basis for evaluating the stability and seepage characteristics of rock mass. The 3D laser scanning technique is used to obtain the outcrop point cloud data of rock mass. The improved region growth method and analytic geometry theory are used to realize the intelligent recognition and information extraction of rock mass structure plane. The conclusions are as follows: (1) by improving the regional growth method, introducing the nodal normal vector discriminant index, setting the flatness detection threshold Kang _ 1 and the regional growth threshold Kang _ 2, we can effectively identify the structural joints of rock mass. Based on the proposed information extraction algorithm, the information of the occurrence, spacing and size of the recognition structure surface is obtained. (2) different flatness detection threshold Kang 1 and region growth threshold Kang 2 are selected to study the effect of threshold on the recognition results. The general suggestions of threshold selection are also extracted. The reliability of the proposed method is verified by two examples of regular plane and highway slope.
【作者单位】：中国地质大学工程学院;江苏省地质调查研究院国土资源部地裂缝地质灾害重点实验室;中国地质大学教育部长江三峡库区地质灾害研究中心;中国电力科学研究院;
【基金】：国土资源部地裂缝地质灾害重点实验室开放课题(201601) 国家自然科学基金资助项目(41602316) 中国地质大学(武汉)实验技术研究项目(SJ 201609)~~
【分类号】：TU45

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