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A deformation measurement method based on surface texture information of rocks and its application

Authors :
Yanbo Zhang
Xin Han
Peng Liang
Xulong Yao
Qun Li
Guangyuan Yu
Qi Wang
Source :
International Journal of Mining Science and Technology, Vol 33, Iss 9, Pp 1117-1130 (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Users of the digital image correlation method are faced with the problem of poor operability, low repeatability, and lack of standardized specifications for spraying speckles. To solve the problem, the research proposed a rock deformation measurement method that obviates the need to spray speckles. A local binary model was established by using the local binary pattern (LBP) operator based on deep texture features on rock surfaces. The resulting LBP digital speckle pattern can substitute artificial speckle patterns and demonstrates high quality and strong applicability. Based on the LBP digital speckle pattern, the target tracking algorithm was employed to achieve non-contact measurement of the dynamic displacements of rocks. The feasibility and effectiveness of the algorithm in practical application were verified by conducting shear tests on granite and siltstone. Test results show that the deformation characteristics in the displacement nephograms are in line with the measured data pertaining to rock fracturing and conform to the basic characteristics of the shear failure of rocks. The deformation measurement method based on surface texture information can realize non-contact displacement measurement of rocks under conditions without speckles: this obviates the influence of the quality of sprayed speckles on the accuracy of the measurement of deformation.

Details

Language :
English
ISSN :
20952686
Volume :
33
Issue :
9
Database :
Directory of Open Access Journals
Journal :
International Journal of Mining Science and Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.435f46ef1963438682d0f4f2ee8cfebb
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ijmst.2023.08.001