Browse > Article
http://dx.doi.org/10.12989/gae.2014.7.4.375

Impact of rock microstructures on failure processes - Numerical study based on DIP technique  

Yu, Qinglei (Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University)
Zhu, Wancheng (Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University)
Tang, Chun'an (Center for Rock Instability and Seismicity Research, Dalian University of Technology)
Yang, Tianhong (Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University)
Publication Information
Geomechanics and Engineering / v.7, no.4, 2014 , pp. 375-401 More about this Journal
Abstract
It is generally accepted that material heterogeneity has a great influence on the deformation, strength, damage and failure modes of rock. This paper presents numerical simulation on rock failure process based on the characterization of rock heterogeneity by using a digital image processing (DIP) technique. The actual heterogeneity of rock at mesoscopic scale (characterized as minerals) is retrieved by using a vectorization transformation method based on the digital image of rock surface, and it is imported into a well-established numerical code Rock Failure Process Analysis (RFPA), in order to examine the effect of rock heterogeneity on the rock failure process. In this regard, the numerical model of rock could be built based on the actual characterization of the heterogeneity of rock at the meso-scale. Then, the images of granite are taken as an example to illustrate the implementation of DIP technique in simulating the rock failure process. Three numerical examples are presented to demonstrate the impact of actual rock heterogeneity due to spatial distribution of constituent mineral grains (e.g., feldspar, quartz and mica) on the macro-scale mechanical response, and the associated rock failure mechanism at the meso-scale level is clarified. The numerical results indicate that the shape and distribution of constituent mineral grains have a pronounced impact on stress distribution and concentration, which may further control the failure process of granite. The proposed method provides an efficient tool for studying the mechanical behaviors of heterogeneous rock and rock-like materials whose failure processes are strongly influenced by material heterogeneity.
Keywords
rock heterogeneity; digital image processing (DIP) technique; rock failure mechanism; numerical simulation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Chinaia, B., Vervuurt, A. and Van Mier, J. G.M. (1997), "Lattice model evaluation of progress failure in disordered particle composites", Eng. Fract. Mech., 57(2/3), 301-318.   DOI   ScienceOn
2 Blair, S.C. and Cook, N.G.W. (1998), "Analysis of compressive fracture in rock statistical techniques: Part I: A non-linear rule-based model", Int. J. Rock Mech. Mining Sci., 35(7), 837-848.   DOI
3 Chen, S., Yue, Z.Q. and Tham, L.G. (2004), "Digital image-based numerical modeling method for prediction of inhomogeneous rock failure", Int. J. Rock Mech. Mining Sci., 41(6), 939-957.   DOI
4 Eberhardt, E., Stimpson, B. and Stead, D. (1999), "Effects of grain size on the initiation and propagation thresholds of stress-induced brittle fractures", Rock Mech. Rock Eng., 32(2), 81-99.   DOI   ScienceOn
5 Fairhurst, C. (1964), "On the validity of the ''Brazilian'' test for brittle materials", Int. J. Rock Mech. Mining Sci., 1(4), 535-546.   DOI
6 Fairhurst, C. (1997), "Geomaterials and recent development in micro-mechanical numerical models", News J., 4(2), 11-14.
7 Fang, Z. and Harrison, J.P. (2002), "Application of a local degradation model to the analysis of brittle fracture of laboratory scale rock specimens under triaxial conditions", Int. J. Rock Mech. Mining Sci., 39(4), 459-476.   DOI
8 Jaeger, J.C. and Cook, N.G.W. (1976), Fundamentals of Rock Mechanics, Chapman and Hall, London, UK.
9 Glover, P.W.J., Gomez, J.B. and Meredith, P.G. (2000), "Fracturing in saturated rocks undergoing triaxial deformation using complex electrical conductivity measurements: Experimental study", Earth Planet Sci. Lett., 183(1-2), 201-213.   DOI
10 Gonzalez, R.C. and Woods, R.F. (1992), Digital Image Processing, Reading, MA, Addison-Wesley.
11 ISRM (1978), "International society for rock mechanics. Suggested methods for determining tensile strength of rock materials", Int. J. Rock Mech. Mining Sci., Geomech. Abstr., 15, 99-103.   DOI   ScienceOn
12 Karamnejad, A., Nguyen, V.P. and Sluys, L.J. (2013), "A multi-scale rate dependent crack model for quasibrittle heterogeneous materials", Eng. Fract. Mech., 104, 96-113.   DOI
13 Kazerani, T. (2013), "A discontinuum-based model to simulate compressive and tensile failure in sedimentary rock", J. Rock Mech. Geotech. Eng., 5(5), 378-388.   DOI
14 Kemeny, J., Mofya, E. and Handy, J. (2003), "The use of digital imaging and laser technologies for field rock fracture characterization", Proceedings of the 12th Pan-American Conference on Soil Mechanics and Geotechnical Engineering, Cambridge, MA, USA, June.
15 Ma, G.W., Wang, X.J. and Ren, F. (2011), "Numerical simulation of compressive failure of heterogeneous rock-like materials using SPH method", Int. J. Rock Mech. Mining Sci., 48(3), 353-363.   DOI
16 Lemy, F. and Hadjigeorgiou, J. (2003), "Discontinuity trace map construction using photographs of rock exposures", Int. J. Rock Mech. Mining Sci., 40(6), 903-917.   DOI
17 Li, L., Tsui, Y., Lee, P.K.K., Tham, L.G., Li, T.J. and Ge, X.R. (2002), "Progressive cracking of granite plate under uniaxial compression", Chinese J. Rock Mech. Eng., 21(7), 940-947.
18 Liang, Z.Z., Xing, H., Wang, S.Y., Williams, D.J. and Tang, C.A. (2012), "A three-dimensional numerical investigation of the fracture of rock specimens containing a pre-existing surface flaw", Comput. Geotech., 45, 19-33   DOI
19 Lilliu, G., van Mier, J.G.M. and van Vliet, M.R.A. (1999), "Analysis of crack growth of the Brazilian test: experiments and lattice analysis", Proceedings of the 8th International Conference on the Mechanical Behavior of Materials, Victoria, Canada, May.
20 Lockner, D.A., Byerlee, J.D., Kuksenko, V., Ponomarev, A. and Sidorin, A. (1992), "Observations of quasistatic fault growth from acoustic emissions", Fault Mechanics and Transport Properties of Rocks, Academic Press, USA.
21 Malan, D.F. and Napier, J.A.L. (1995), "Computer modeling of granular material micro fracturing", Tectonophysics, 248(1/2), 21-37.   DOI
22 Mellor, M. and Hawkes, I. (1971), "Measurement of tensile strength by diametral compression of discs and annuli", Eng. Geol., 5(3), 173-225.   DOI   ScienceOn
23 Molladavoodi, H. and Mortazavi, A. (2011), "A damage-based numerical analysis of brittle rocks failure mechanism", Finite Elem. Anal. Design, 47(9), 991-1003.   DOI
24 Moore, D.E. and Lockner, D.A. (1995), "The role of microcracking in shear-fracture propagation in granite", J. Struct. Geol., 17(1), 95-114.   DOI
25 Mortazavi, A. and Molladavoodi, H. (2012), "A numerical investigation of brittle rock damage model in deep underground openings", Eng. Fract. Mech., 90, 101-120.   DOI
26 Reid, T.R. and Harrison, J.P. (2000), "A semi-automated methodology for discontinuity trace detection in digital images of rock mass exposures", Int. J. Rock Mech. Mining Sci., 37(7), 1073-1089.   DOI   ScienceOn
27 Pan, P.Z., Yan, F. and Feng, X.T. (2012), "Modeling the cracking process of rocks from continuity to discontinuity using a cellular automaton", Comput. Geosci., 42, 87-99.   DOI
28 Potyondy, D.O. and Cundall, P.A. (2004), "A bonded-particle model for rock", Int. J. Rock Mech. Mining Sci., 41(8), 1329-1364.   DOI   ScienceOn
29 Potyondy, D.O., Cundall, P.A. and Lee, C. (1996), "Modeling of rock using bonded assemblies of circular particles", Proceedings of Second North American Rock Mechanics Symposium, Montreal, QC, Canada, June.
30 Schlangen, E. and Garboczi, E.J. (1997), "Fracture simulations of concrete using lattice models: computational aspects", Eng. Fract. Mech., 57(2/3), 319-332.   DOI   ScienceOn
31 Tang, C.A. (1997), "Numerical simulation of progressive rock failure and associated seismicity", Int. J. Rock Mech. Mining Sci., 34(2), 249-261.   DOI   ScienceOn
32 Tang, C.A. and Hudson, J.A. (2002), "Understanding rock failure through numerical simulations and implications for the use of codes in practical rock engineering", Proceedings of the 5th North American Rock Mechanics Symposium and the 17th Tunnelling Association of Canada Conference, Toronto, ON, Canada, July.
33 Tang, C.A., Liu, H., Lee, P.K.K., Tsui, Y. and Tham, L.G. (2000), "Numerical studies of the influence of microstructure on rock failure in uniaxial compression-Part I: Effect of heterogeneity", Int. J. Rock Mech. Mining Sci., 37(4), 555-569.   DOI   ScienceOn
34 Van Mier, J.G.M. (1997), "Fracture processes of concrete: Assessment of material parameters for fracture models", CRC Press Inc., Boca Raton, FL, USA.
35 Yuan, S.C. and Harrison, J.P. (2006), "A review of the state of the art in modelling progressive mechanical breakdown and associated fluid flow in intact heterogeneous rocks", Int. J. Rock Mech. Mining Sci., 43(7), 1001-1022.   DOI
36 Vasil'ev, S.P. and Nikiforovskii, V.S. (2001), "On failure mechanism of specimens in the 'Brazilian test' scheme", J. Mining Sci., 37(2), 180-183.   DOI
37 Weibull, W. (1951), "A statistical distribution function of wide applicability", J. Appl. Mech., 18, 293-297.
38 Yan, F., Feng, X.T., Pan, P.Z. and Li, S.J. (2014), "Discontinuous cellular automaton method for crack growth analysis without remeshing", Appl. Math. Model., 38(1), 291-307.   DOI
39 Zhao, G.F., Khalili, N., Fang, J.N. and Zhao, J. (2012), "A coupled distinct lattice spring model for rock failure under dynamic loads", Comput. Geotech., 42, 1-20.   DOI
40 Yue, Z.Q. and Morin, I. (1996), "Digital image processing for aggregate orientation in asphalt concrete mixtures", Can J. Civil Eng., 23(2), 479-489.
41 Yue, Z.Q., Chen, S. and Tham, L.G. (2003), "Finite element modeling of geomaterials using digital image processing", Comput. Geotech., 30(5), 375-397.   DOI   ScienceOn
42 Yue, Z.Q., Chen, S. and Zhen, H. (2004), "Digital image processing based on finite element method for geomaterials(in Chinese)", Chinese J. Rock Mech. Eng., 23(6), 889-897.
43 Zhu, W.C. and Tang, C.A. (2002), "Numerical simulation on shear fracture process of concrete using mesoscopic mechanical model", Construct. Build. Mater., 16(8), 453-463.   DOI   ScienceOn
44 Zhu, W.C. and Tang, C.A. (2004), "Micromechanical model for simulating the fracture process of rock", Rock Mech. Rock Eng., 37(1), 25-56.   DOI   ScienceOn
45 Zhu, W.C., Liu, J., Yang, T.H., Sheng, J.C. and Elsworth, D. (2006), "Effects of local rock heterogeneities on the hydromechanics of fractured rocks using a digital-image-based technique", Int. J. Rock Mech. Mining Sci., 43(8), 1182-1199.   DOI