Characterization on jointed rock masses based on PFC2D

Peitao WANG , Tianhong YANG , Qinglei YU , Honglei LIU , Penghai ZHANG

Front. Struct. Civ. Eng. ›› 2013, Vol. 7 ›› Issue (1) : 32 -38.

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Front. Struct. Civ. Eng. ›› 2013, Vol. 7 ›› Issue (1) : 32 -38. DOI: 10.1007/s11709-013-0187-9
RESEARCH ARTICLE
RESEARCH ARTICLE

Characterization on jointed rock masses based on PFC2D

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Abstract

Geometrical parameters of discontinuities, such as spacing, length, dip and fault throw between joints have a great influence on the mechanical behavior of jointed rock masses. Accurate characterization for discontinuities is important for investigate the stability of rock masses. In this paper, the PFC2D is combined with joint network generation method to examine the mechanical behaviors of jointed mass. Taking Miaogou Open-pit Mine as an example, the information and statistical distributions of discontinuities of the slope rock masses are measured by ShapeMetriX3D measuring tool. Then, the automatic generation algorithm of random joints network based on the Monte-Carlo method is proposed using the programming language (FISH) embedded within PFC2D. This algorithm could represent the discontinuities compared with the geological surveys. In simulating the compression test of a jointed rock sample, the mechanical behavior and crack propagation were investigated. The results reveal that the failure mode and crack propagation of the jointed rock are dominated by the distribution of joints in addition to the intact rock properties. The simulation result shows the feasibility of the joints generating method in application to jointed rock mass.

Keywords

jointed rock masses / shape metrix3D / monte-carlo stochastic simulation method / PFC2D

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Peitao WANG, Tianhong YANG, Qinglei YU, Honglei LIU, Penghai ZHANG. Characterization on jointed rock masses based on PFC2D. Front. Struct. Civ. Eng., 2013, 7(1): 32-38 DOI:10.1007/s11709-013-0187-9

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References

[1]

Pariseau W G, Puri S, Schmelter S C. A new model for effects of impersistent joint sets on rock slope stability. International Journal of Rock Mechanics and Mining Sciences, 2008, 45(2): 122–131

[2]

Cundall P A. A computer model for simulating progressive large-scale movements in block systems. In: Proceedings of the Symposium of the International Society of Rock Mechanics. Rotterdam: A.A Balkema, 1971, 1: 8–12

[3]

Huang Y F, Feng J. Theory, Programs and Examples of Computing Engineering Geology. Beijing: Weapon Industry Press, 1992 (in Chinese)

[4]

Itasca Consulting Group, Inc. Particle Flow Code in 2-Dimensions: Command Reference version 3.1. Minneapolis, 2004

[5]

Austrian Startup Company. ShapeMetriX3D model merger user manual. Shenyang: Earth Products China Ltd, 2008

[6]

Yang T H, Yu Q L, Chen S K. Rock mass structure digital recognition and hydro-mechanical parameters characterization of sandstone in Fangezhuang coal mine. Chinese Journal of Rock Mechanics and Engineering, 2009, 28(12): 2482–2488 (in Chinese)

[7]

Shen H Y, Zhang P, Wang K. Improved linear congruential random number generators. Journal of Tsinghua University (Science & Technology), 2009, 49(2): 191–193

[8]

Su J M, Zhang L H, Liu B. Applications of MATLAB toolboxes. Beijing: Publishing House of Electronics Industry, 2004

[9]

Jiao Y Y, Zhang X L, Li T C. DDARF Method for Simulating the Whole Process of Rock Failure. Beijing: Science Publishing House, 2010

[10]

Bäckström A, Antikainen J, Backers T, Feng X, Jing L, Kobayashi A, Koyama T, Pan P, Rinne M, Shen B, Hudson J A. Numerical modelling of uniaxial compressive failure of granite with and without saline porewater. International Journal of Rock Mechanics and Mining Sciences, 2008, 45(7): 1126–1142

[11]

Potyondy D O. Simulating stress corrosion with a bonded-particle model for rock. International Journal of Rock Mechanics and Mining Sciences, 2007, 44(5): 677–691

[12]

Wang Y N, Fulvio T. Modeling Lac du Bonnet granite using a discrete element model. International Journal of Rock Mechanics and Mining Sciences, 2009, 46(7): 1124–1135

[13]

Hazzard J F, Young P P. Simulation acoustic emissions in bonded-particle models of rock. International Journal of Rock Mechanics and Mining Sciences, 2000, 37(5): 867–872

[14]

Itasca, Consulting Group Inc. Particle Flow Code in 2-Dimensions: FISH in PFC2D version 3.1. Minneapolis, 2004

[15]

Park J W, Song J J. Numerical simulation of a direct shear test on a rock joint using a bonded-particle model. International Journal of Rock Mechanics and Mining Sciences, 2009, 46(8): 1315–1328

[16]

Fu Z L. Experiment course on rock mechanics. Beijing: Chemical Industry Press, 2011 (in Chinese)

[17]

Hall S A, Muir Wood D, Ibraim E, Viggiani G. Localised deformation patterning in 2D granular materials revealed by digital image correlation. Granular Matter, 2010, 12(1): 1–14

[18]

Jiang Y J, Li B, Yosihiko T. Estimating the relation between surface roughness and mechanical properties of rock joints. International Journal of Rock Mechanics and Mining Sciences, 2006, 43(6): 837–846

[19]

Fardin N, Stephansson O, Jing L R. The scale dependence of rock joint surface roughness. International Journal of Rock Mechanics and Mining Sciences, 2001, 38(5): 659–669

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