3D morphology reconstruction of rock joints from 2D profile measurement by a profilograph

被引:0
|
作者
Liu, Songlin [1 ]
Wang, Changshuo [2 ]
Du, Shigui [2 ,3 ]
Yong, Rui [2 ,3 ]
Yu, Yang [1 ]
Sun, Hongyue [1 ]
机构
[1] Zhejiang Univ, Ocean Coll, Zhoushan 316021, Zhejiang, Peoples R China
[2] Ningbo Univ, Inst Rock Mech, Ningbo 315211, Zhejiang, Peoples R China
[3] Shaoxing Univ, Key Lab Rock Mech & Geohazards Zhejiang Prov, Shaoxing 312000, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Rock joint morphology; 3D reconstruction; 2D profiles; Profilograph; Shear strength; SHEAR-STRENGTH CRITERION; ROUGHNESS COEFFICIENT;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Rock mass stability is closely related to the shear strength of rock joints. Measuring the joint surface morphology is of vital importance for evaluating the shear strength of rock joints. Although non-contact measurement methods such as laser scanning are advantageous in high precision, the characteristics of high purchase cost or rental fees and being susceptible to the operating environment have weakened their practicability for in-situ batch measurement of the three-dimensional (3D) morphology of joints. To facilitate the possibility of utiliz-ing cost-effective contact-based devices to replace the non-contact ones, we proposed a methodology to recon-struct the 3D morphology of rock joints using two-dimensional (2D) joint profiles measured by contact measurement methods (e.g., a profilograph). First, through a comprehensive comparison of commonly used spatial interpolation methods, the V4 method from the Griddata function is determined as the optimal one for the proposed methodology. Then, based on the optimal spatial interpolation method, the appropriate profile interval is determined through a referential band derived in this study. Finally, the performance of the proposed methodology was validated from experimental and theoretical perspectives. Results show that the relative errors of the test cases are within the engineering permissible error range, and more than 92% of the test cases are associated with an error less than 5%. In addition, the influences of the joint mechanical parameters, joint roughness level, and joint size on the appropriate profile interval are investigated. This methodology offers a cost-effective alternative for in-situ batch measurement of joint 3D morphology in the field survey of rock joints.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] 3D dense reconstruction from 2D video sequence via 3D geometric segmentation
    Han, Bing
    Paulson, Christopher
    Wu, Dapeng
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2011, 22 (05) : 421 - 431
  • [32] SSR-2D: Semantic 3D Scene Reconstruction From 2D Images
    Huang, Junwen
    Artemov, Alexey
    Chen, Yujin
    Zhi, Shuaifeng
    Xu, Kai
    Niessner, Matthias
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 46 (12) : 8486 - 8501
  • [33] 3D reconstruction of 2D ICT images by Matlab
    Wei Dongbo
    Li Dan
    Tang Qibo
    Xu Haijun
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 3949 - 3952
  • [34] Volumetric CT scanning: 2D and 3D reconstruction
    Ferretti, G. -R.
    Jankowski, A.
    REVUE DES MALADIES RESPIRATOIRES, 2010, 27 (10) : 1267 - 1274
  • [35] 3D reconstruction based on 2D view feature
    Gao, Wei
    Peng, Qunsheng
    Jisuanji Xuebao/Chinese Journal of Computers, 1999, 22 (05): : 481 - 485
  • [36] Estimating permeability from thin sections without reconstruction: Digital rock study of 3D properties from 2D images
    Saxena, Nishank
    Mavko, Gary
    Hofmann, Ronny
    Srisutthiyakorn, Nattavadee
    COMPUTERS & GEOSCIENCES, 2017, 102 : 79 - 99
  • [37] Measurement of 2D and 3D Fractal Features of Urban Morphology from an Architectural View and Its Influencing Factors
    Zhang, Chenming
    Ping, Xiaoying
    Fan, Qindong
    Li, Chunlin
    FRACTAL AND FRACTIONAL, 2024, 8 (03)
  • [38] ACCURACY OF 2D AND 3D MEASUREMENT OF PLACENTA SHAPE
    Getreuer, Pascal
    Girardi, Theresa
    Li, Yingying
    Salafia, Carolyn
    Dalton, Jeffrey
    Katzman, Philip
    Ruffolo, Luis
    Miller, Richard
    Moye, John
    PLACENTA, 2012, 33 (09) : A22 - A22
  • [39] 3D reconstruction of complex geometric solids from 2D line drawings
    1600, Association for Computing Machinery, 2 Penn Plaza, Suite 701, New York, NY 10121-0701, United States
  • [40] Reconstruction and flow simulation of 3D human trachea from 2D images
    National Center for High-Performance Computing, P.O.BOX 19-136, Hsinchu, Taiwan, Taiwan
    Hangkong Taikong ji Minhang Xuekan, 2007, 1 (39-44):