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

Leibo Song (), Dan Zhang, Gang Wang, ShiGui Du (), Gaojian Hu, Guansheng Han, Xingkai Wang and Xiqi Liu
Additional contact information
Leibo Song: Shaoxing University
Dan Zhang: Shaoxing University
Gang Wang: Shaoxing University
ShiGui Du: Ningbo University
Gaojian Hu: Shaoxing University
Guansheng Han: Shaoxing University
Xingkai Wang: Shaoxing University
Xiqi Liu: Wuhan University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 116, issue 1, No 5, 97-110

Abstract: 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.

Keywords: Rock joint; 3D White light scanning technology; Shear failure characteristics; Joint morphology (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-022-05665-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:116:y:2023:i:1:d:10.1007_s11069-022-05665-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-022-05665-5

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().