基于三维点云的岩体结构面信息快速化识别方法研究

doi:10.13722/j.cnki.jrme.2020.0747

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Abstract The in-situ survey and identification of geometric properties of rock discontinuities in jointed rock mass is one of the basic tasks for the stability analysis of rock engineering. In order to solve the problems of the traditional discontinuity survey methods when obtaining the structural plane information，such as low efficiency，high risk，high subjectivity and data sharing difficulty，An automatic identification algorithm of rock mass structural planes，considering three sensitivity parameters including the number of neighbor points k，the angle threshold j and the filter factor f，was proposed based on the three-dimensional point cloud data of rock mass surfaces using MATLAB code. Based on the neighborhood point searching method，the normal vector analysis of the neighborhood point plane was firstly carried out. Then，the coordinate information of the normal vector point set belonging to the same group of structural planes was determined according to the threshold j，and the coplanar point cloud was reproduced in the same color display mode. The optimal groups of structural planes were discussed based on the influence of the filter factor f on varied types of point clouds. Finally，the fast identification and recognition of dip direction and dip angle of dominant discontinuties，occurrence projection and rose diagram were achieved. The research results can provide one reliable application method for the intelligent and efficient measurement of in-site rock discontinuities.

Key words： rock mechanics 3D point cloud rock discontinuities fast identification optimizing analysis

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	WANG Peitao1
	2
	3
	QIN Tuo3
	HUANG Zhengjun1
	2
	3
	REN Fenhua1
	2
	3
	CAI Meifeng1
	2
	3

Cite this article:

WANG Peitao1,2,3, et al. Fast identification of geometric properties of rock discontinuities based on 3D point cloud[J]. , 2021, 40(3): 503-519.

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http://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2020.0747 OR http://rockmech.whrsm.ac.cn/EN/Y2021/V40/I3/503

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