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作 者:郭登上 谢谟文[1] 刘卫南 贺铮 熊娟 GUO Dengshang;XIE Mowen;LIU Weinan;HE Zheng;XIONG Juan(School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China;Beijing Zhongguancun Insititute of Safety Science Co.,Ltd.,Beijing 102199,China)
机构地区:[1]北京科技大学土木与资源工程学院,北京100083 [2]北京中关村智连安全科学研究院有限公司,北京102199
出 处:《矿业研究与开发》2022年第5期197-202,共6页Mining Research and Development
基 金:北京市科技计划项目(Z201100005820008);国家自然科学基金项目(41572274)。
摘 要:结构面在空间上的展布是岩体稳定性的重要影响因素,为解决传统结构面调查风险高、效率低,一般智能识别方法不适用于结构面发育破碎区的问题,基于三维激光点云数据,提出了一种精准、简便提取结构面并获取其产状信息的方法。首先,基于局部邻域熵函数最小准则改进了点云主成分分析算法,获取点云法向量信息;然后,利用区域生长算法对点云法向量夹角及曲率阈值进行分析,识别出了结构面;最后,通过法向量坐标转化获取结构面产状信息并对其进行分组。以青海黄藏寺某裂隙岩体为例,现场识别测试结果表明,该方法可以精准、简便地提取岩体结构面产状信息。The spatial distribution of the structural plane is an important factor affecting the stability of rock mass.In order to solve the high risk and low efficiency of traditional structural plane investigation,the general intelligent identification method is not suitable for the structural plane with broken areas development.Based on the 3 D laser point cloud data,an accurate and simple extracting method for structural planes and obtaining their occurrence information was proposed.Firstly,based on the minimum criterion of local neighborhood entropy function,the principal component analysis algorithm of point cloud was improved to obtain the normal vector information of point cloud.Then,the region growing algorithm was used to analyze the normal vector angle and curvature threshold of the point cloud,so as to identify the structural plane.Finally,through the transformation of normal vector coordinates,the occurrence information of the structural plane was obtained and grouped.Taking a fractured rock mass in Huangzang Temple,Qinghai Province as an example,the field identification test results show that this method can accurately and simply extract the occurrence information of structural plane of rock mass.
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