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Evaluation method of local failure characteristics for joint based on white light scanning technology.

Authors :
Song, Leibo
Zhang, Dan
Wang, Gang
Du, ShiGui
Hu, Gaojian
Han, Guansheng
Wang, Xingkai
Liu, Xiqi
Source :
Natural Hazards; Mar2023, Vol. 116 Issue 1, p97-110, 14p
Publication Year :
2023

Abstract

Joint is an important factor affecting the stability of engineering rock mass. To quantitatively analyze the local failure characteristics, the point cloud data of joint before and after shear were obtained by 3D white light scanning technology. Firstly, the problem of cloud surface skew of point cloud data was solved by constructing rotation matrix and translation matrix, and the datum of joint was determined. Then, according to the marked points and the undamaged area, the joint point cloud data before and after shear are aligned, and the point cloud data with equal spacing were obtained by interpolation algorithm. Finally, a 3D description method of joint local failure characteristics is proposed. The proposed method can determine the scope of surface failure of joint, quantitatively analyze the locality of its failure characteristics, provide data support for distinguishing the types of shear failure and offer theoretical basis for further research on shear mechanism. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0921030X
Volume :
116
Issue :
1
Database :
Complementary Index
Journal :
Natural Hazards
Publication Type :
Academic Journal
Accession number :
162588140
Full Text :
https://doi.org/10.1007/s11069-022-05665-5