Rock mass structural data analysis using image processing techniques (Case study: Choghart iron ore mine northern slopes) | ||
| Journal of Mining and Environment | ||
| مقاله 5، دوره 8، شماره 1، فروردین 2017، صفحه 61-74 اصل مقاله (1.67 M) | ||
| نوع مقاله: Case Study | ||
| شناسه دیجیتال (DOI): 10.22044/jme.2016.629 | ||
| نویسندگان | ||
| M. Mohebbi* ؛ A.R. Yarahmadi Bafghi؛ M. Fatehi Marji؛ J. Gholamnejad | ||
| Department of Mining Engineering, Yazd University, Yazd, Iran | ||
| چکیده | ||
| Presence of joints and fractures in rocks strongly influences the behavior of the rock mass by dividing the media into smaller units. These structures intensify the potential instability besides the development of sliding and rotational movements. The assumption of discontinuum media changes the whole analysis conditions in relation to the continuum analysis. Acquisition of geometrical and structural discontinuity data alongside their mechanical properties is of paramount importance in a rock mass analysis. Orientation, spacing, expansion, and other geometrical characteristics of the rock mass and their relative geometrical position to the studied projects influence the pattern and potential of failure. Therefore, inevitably, the first step involved in the analysis of rock mass is geometric data collection of the discontinuities as a crucial step before analysis. In this study, the traditional data collection methods in structural discontinuities with their disadvantages are reviewed. Then the discontinuity data collection based on digital image analysis is developed and applied in a case study to several walls of the Choghart iron ore mine. The results obtained show that this method has a very good accuracy in assessing the fine structures, and also it collects data in a much shorter time. This study, therefore, suggests that the proposed method can be used as a practical approach. | ||
| کلیدواژهها | ||
| Joint Mapping؛ Digital Image Analysis؛ Choghart Iron Ore Mine | ||
| مراجع | ||
|
[1]. Proctor, R.V., White, T.L. and Terzaghi, K. (1977). Rock tunneling with steel supports. Commercial Shearing.
[2]. Bisdom, K. (2011). Modelling 3D Discrete Fracture Networks using 2D outcrop data (Doctoral dissertation, TU Delft, Delft University of Technology).
[3]. Priest, S.D. (1993). Discontinuity analysis for rock engineering. Springer Science & Business Media.
[4]. Kemeny, J. and Post, R. (2003). Estimating three-dimensional rock discontinuity orientation from digital images of fracture traces. Computers & Geosciences. 29 (1): 65-77.
[5]. Rossini, M. (1998). 2D-discontinuity detection from scattered data. Computing. 61(3): 215-234.
[6]. Lemy, F. and Hadjigeorgiou, J. (2003). Discontinuity trace map construction using photographs of rock exposures. International Journal of Rock Mechanics and Mining Sciences. 40 (6): 903-917.
[7]. Leu, S.S. and Chang, S.L. (2005). Digital image processing based approach for tunnel excavation faces. Automation in construction. 14 (6): 750-765.
[8]. Post, R. (2001). Characterizing of joints and fractures in a rock mass using digital image processing (Doctoral dissertation, MS Thesis, University of Arizona).
[9]. Kemeny, J., Mofya, E., Holmlund, J. and Ahlgren, S. (2002). Digital imaging for rock mass characterization. In Geophysics 2002. The 2nd Annual Conference on the Application of Geophysical and NDT Methodologies to Transportation Facilities and Infrastructure.
[10]. Wang, W., Liao, H. and Huang, Y. (2007). Rock fracture tracing based on image processing and SVM. In Natural Computation, 2007. ICNC 2007. Third International Conference on IEEE 1: 632-635.
[11]. Nguyen, T.L., Hall, S.A., Vacher, P. and Viggiani, G. (2011). Fracture mechanisms in soft rock: identification and quantification of evolving displacement discontinuities by extended digital image correlation. Tectonophysics. 503 (1): 117-128.
[12]. Assali, P., Grussenmeyer, P., Villemin, T., Pollet, N. and Viguier, F. (2014). Surveying and modeling of rock discontinuities by terrestrial laser scanning and photogrammetry: Semi-automatic approaches for linear outcrop inspection. Journal of Structural Geology. 66: 102-114.
[13]. Assali, P., Grussenmeyer, P., Villemin, T., Pollet, N. and Viguier, F. (2016). Solid images for geostructural mapping and key block modeling of rock discontinuities. Computers & Geosciences.
[14]. Wei, Z.Q., Egger, P. and Descoeudres, F. (1995). Permeability predictions for jointed rock masses. In International journal of rock mechanics and mining sciences & geomechanics abstracts. Pergamon. 32 (3): pp. 251-261.
[15]. Hoek, E. and Bray, J.D. (1981). Rock slope engineering. CRC Press.
[16]. Karzulovic, A. and Goodman, R.E. (1985). Determination of principal joint frequencies. In International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts. Pergamon. 22 (6): 471-473.
[17]. Oda, M., Yamabe, T. and Kamemura, K. (1986). A crack tensor and its relation to wave velocity anisotropy in jointed rock masses. In International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts. Pergamon. 23 (6): 387-397.
[18]. Gonzalez, R.C. and Woods, R.E. (2002). Digital image processing.
[19]. Hum, Y.C., Lai, K.W. and Mohamad Salim, M.I. (2014). Multiobjectives bihistogram equalization for image contrast enhancement. Complexity. 20 (2): 22-36.
[20]. Amiri, S.A. and Hassanpour, H. (2012). A preprocessing approach for image analysis using gamma correction. International Journal of Computer Applications. 38 (12): 38-46.
[21]. Strong, D. and Chan, T. (2003). Edge-preserving and scale-dependent properties of total variation regularization. Inverse Problems. 19: S165-S187.
[22]. Chambolle, A. (2004). An algorithm for total variation minimization and applications. Journal of Mathematical Imaging and Vision. 20: 89-97.
[23]. Gonzalez, R.C., Woods, R.E. and Eddins, S.L. (2004). Digital image processing using MATLAB. Pearson Education India.
[24]. Maini, R. and Aggarwal, H. (2009). Study and comparison of various image edge detection techniques. International journal of image processing (IJIP). 3 (1): 1-11.
[25]. Green, B. (2002). Canny edge detection tutorial. Retrieved: March, 6, 2005.
[26]. Deb, D., Hariharan, S., Rao, U.M. and Ryu, C.H. (2008). Automatic detection and analysis of discontinuity geometry of rock mass from digital images. Computers & Geosciences. 34 (2): 115-126. | ||
|
آمار تعداد مشاهده مقاله: 2,651 تعداد دریافت فایل اصل مقاله: 3,291 |
||