基于点云数据对齐技术的岩体结构面三维吻合度求取

doi:10.16285/j.rsm.2017.11.039

›› 2017, Vol. 38 ›› Issue (11): 3385-3393.doi: 10.16285/j.rsm.2017.11.039

• 测试技术 • 上一篇

基于点云数据对齐技术的岩体结构面三维吻合度求取

葛云峰¹，陈勇¹，王亮清¹，霍少磊²，王昌硕¹，夏丁¹，钟鹏¹

1. 中国地质大学（武汉）工程学院，湖北武汉 430074；2. 中国能源建设集团安徽电力设计院有限公司，安徽合肥 230601

收稿日期:2016-12-05 出版日期:2017-11-10 发布日期:2018-06-05
通讯作者: 王亮清，男，1972年生，博士，教授，主要从事地质工程与岩土工程方面的教学和科研工作。E-mail：wlq027@126.com E-mail:cug_gyf@foxmail.com
作者简介:葛云峰，男，1985年生，副教授，主要从事工程岩土体稳定性、地质灾害预测与防治方面的教学和科研工作
基金资助:
国土资源部地裂缝地质灾害重点实验室开放课题（No. 201601）；国家自然科学基金（No. 41602316, No. 41372310）；中央高校基本科研业务费专项资金资助项目（No. 2017058102）；中国地质大学（武汉）试验技术研究项目（No. SJ-201609）。

Estimation of 3D joint matching coefficient of rock discontinuities using point cloud data alignment technology

GE Yun-feng¹, CHEN Yong¹, WANG Liang-qing¹, HUO Shao-lei², WANG Chang-shuo¹, XIA Ding¹, ZHONG Peng¹

1. Faculty of Engineering, China University of Geosciences, Wuhan, Hubei 430074, China; 2. Anhui Electric Power Design Institute Co, Ltd. of China Energy Engineering Group, Hefei, Anhui 230601, China

Received:2016-12-05 Online:2017-11-10 Published:2018-06-05
Supported by:
This work was supported by the Open Project of Key Laboratory of Earth Fissures Geological Disaster, Ministry of Land and Resources (201601), the National Natural Science Foundation of China (41602316, 41372310), the Fundamental Research Funds for the Central Universities (2017058102) and the Laboratory Research Funds of China University of Geosciences (Wuhan) (SJ-201609).

摘要/Abstract

摘要： 为了更好地描述岩体结构面的吻合程度，引入点云数据对齐技术，计算获得岩体结构面三维吻合度参数（JMC3D）。采用三维激光扫描技术，获取岩体结构面上下盘点云数据，基于迭代最近算法（ICP），将结构面参考面和测试面点云数据统一到全局坐标系中并实现对齐，计算对齐后的测试面与参考面之间的Z坐标高差；然后，将高差位于对齐误差区间的点云数据作为吻合部分予以定量化，计算岩体结构面上下盘吻合面积百分比，从而获取三维吻合度参数。最后，根据JRC-JMC模型公式求取岩体结构面剪切强度，与室内岩体结构面直剪试验结果对比分析进行方法验证。4组试验对比结果误差分别为7.38%、3.21%、9.03%、10.02%，表明基于点云数据对齐技术求取的岩体结构面三维吻合度具有一定可行性和实用性，同时也进一步印证岩体结构面三维吻合度与剪切强度之间的相互联系。

关键词: 岩体结构面, 点云数据对齐技术, 三维吻合度, 剪切强度

Abstract: To better describe the coincidence degree of rock, the point cloud alignment algorithm was employed to calculate 3D joint matching coefficient (JMC3D) in this study. Firstly, 3D laser scanning technology was used to collect point clouds of rock discontinuities, including upper and lower joints. Then point clouds from both reference surface and testing surface of rock discontinuities were registered into the same global coordinate system, based on the iterative closest points (ICP) algorithm. Moreover, the corresponding Z-coordinate difference between the aligned testing surface and the reference surface was calculated. These point clouds, with Z differences in the range of alignment errors, were regarded as the matching portions. Finally, the percentage of matching portions was calculated to represent the parameter of JMC3D. The comparison of shear strength results obtained from direct shear tests in the laboratory and JRC-JMC model was conducted to clarify the reliability of the proposed method. The relative errors of four joint specimens were 7.38%, 3.21%, 9.03%, and 10.02% respectively, which indicated that the presented calculation of JMC3D was characterized by high feasibility and good performance. Meanwhile, this study revealed that there was a close relationship between the parameter of JMC3D and shear strength of rock discontinuities.

Key words: rock discontinuities, point cloud data alignment technology, 3D joint matching coefficient, shear strength

中图分类号:

TU 45

葛云峰，陈勇，王亮清，霍少磊，王昌硕，夏丁，钟鹏，. 基于点云数据对齐技术的岩体结构面三维吻合度求取[J]. , 2017, 38(11): 3385-3393.

GE Yun-feng, CHEN Yong, WANG Liang-qing, HUO Shao-lei, . Estimation of 3D joint matching coefficient of rock discontinuities using point cloud data alignment technology[J]. , 2017, 38(11): 3385-3393.

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基于点云数据对齐技术的岩体结构面三维吻合度求取

Estimation of 3D joint matching coefficient of rock discontinuities using point cloud data alignment technology

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