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ARTICLE
Numerical study on micro-fracture characteristics of rock unloading failure under high stresses and the explanation for rock burst
1
School of Science, Xi’an University of Architecture and Technology, China
These authors had equal contribution to this work
Submission date: 2024-08-18
Final revision date: 2024-11-16
Acceptance date: 2025-01-08
Online publication date: 2025-03-01
Corresponding author
KEYWORDS
TOPICS
ABSTRACT
The micro-structure of rock essentially affects its macroscopic mechanical behaviors. To investigate the effect of micro-structure on the rock burst, an improved grain-based discretized virtual internal bond (GB-DVIB) model is developed. By the improved GB-DVIB model, different types of mineral grains and grain-boundaries can be generated effectively. A novel parameter calibration method, in which the scanning electron microscope, nano-indentation approach and conventional mechanical tests are utilized synthetically, is proposed. The single face unloading test is simulated to verify the ability of the improved GD-DVIB model to simulate the rock burst. The simulated results show that the the improved GB-DVIB model can simulate the intra- and inter-granular cracking and the main characteristics of the rock unloading failure process. The influence of the specimen size and the micro-structure on the rock burst proneness is investigated. As the height-to-thickness
ratio decreases from large to small, the tensile failure characteristics weaken, while the shear failure characteristics enhance, manifested as the tensile-shear transition. With the increase of mineral grain size and heterogeneity, the rock burst proneness is stronger. Compared with the horizontal distribution of mineral grains, the vertical distribution can make the rock burst proneness stronger.
REFERENCES (25)
1.
Cundall, P.A. (1988). Formulation of a three-dimensional distinct element model – Part I. A scheme to detect and represent contacts in a system composed of many polyhedral blocks. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 25(3), 107–116. https://doi.org/10.1016/0148-9....
2.
Gao, H. & Klein, P. (1998). Numerical simulation of crack growth in an isotropic solid with randomized internal cohesive bonds. Journal of the Mechanics and Physics of Solids, 46(2), 187–218. https://doi.org/10.1016/S0022-....
3.
Ghazvinian, E., Diederichs, M.S., & Quey, R. (2014). 3D random Voronoi grain-based models for simulation of brittle rock damage and fabric-guided micro-fracturing. Journal of Rock Mechanics and Geotechnical Engineering, 6(6), 506–521. https://doi.org/10.1016/j.jrmg....
4.
He, M., Nie, W., Zhao, Z., & Cheng, C. (2011). Micro- and macro-fractures of coarse granite under true-triaxial unloading conditions (in Chinese). Mining Science and Technology, 21(3), 389–394. https://doi.org/10.1016/j.mstc....
5.
He, M., Xia, H., Jia, X., Gong, W., Zhao, F., & Liang, K. (2012). Studies on classification, criteria and control of rockbursts. Journal of Rock Mechanics and Geotechnical Engineering, 4(2), 97–114. https://doi.org/10.3724/SP.J.1....
6.
Hofmann, H., Babadagli, T., Yoon, J.S., Zang, A., & Zimmermann, G. (2015). A grain based modeling study of mineralogical factors affecting strength, elastic behavior and micro fracture development during compression tests in granites. Engineering Fracture Mechanics, 147, 261–275. https://doi.org/10.1016/j.engf....
7.
Huang, D., Tan, Q., & Huang, R. (2012). Study of micro-mesoscopic characteristics of marble fracture surface and correlation with unloading rock mass strength under high stress and unloading (in Chinese). Rock and Soil Mechanics, 33(Supp. 2), 7–15 .
8.
Jin, X., Zheng, J., Hua, S., & Tong, X. (2024). Influencing factors of deformation and failure of porous coal under conventional loading. Facta Universitatis, Series: Mechanical Engineering. https://doi.org/10.22190/FUME2....
9.
Li, X.F., Li, H.B., & Zhao, J. (2017). 3D polycrystalline discrete element method (3PDEM) for simulation of crack initiation and propagation in granular rock. Computers and Geotechnics, 90, 96–112. https://doi.org/10.1016/j.comp....
10.
Manouchehrian, A. & Cai, M. (2015). Simulation of unstable rock failure under unloading conditions. Canadian Geotechnical Journal, 53(1), 22–34. https://doi.org/10.1139/cgj-20....
11.
Peng, J., Wong, L.N.Y., & Teh, C.I. (2017a). Influence of grain size heterogeneity on strength and microcracking behavior of crystalline rocks. Journal of Geophysical Research: Solid Earth, 122(2), 1054–1073. https://doi.org/10.1002/2016JB....
12.
Peng, J., Wong, L.N.Y., Teh, C.I., & Li, Z. (2017b). Modeling micro-cracking behavior of Bukit Timah granite using grain-based model. Rock Mechanics and Rock Engineering, 51(1), 135–154. https://doi.org/10.1007/s00603....
13.
Procházka, P.P. (2004). Application of discrete element methods to fracture mechanics of rock bursts. Engineering Fracture Mechanics, 71(4–6), 601–618. https://doi.org/10.1016/S0013-....
14.
Su, G., Chen, G., Hu, X., Mei S., & Huang, X. (2019). Experimental study on influence of granite grain size on rockburst (in Chinese). Explosion and Shock Waves, 39(12), 66–77. http://dx.doi.org/10.11883/bzy...
15.
Sun, C., Li, G., Gomah, M.E., Xu, J., & Rong, H. (2020). Meso-scale mechanical properties of mudstone investigated by nanoindentation. Engineering Fracture Mechanics, 238, Article 107245. https://doi.org/10.1016/j.engf....
16.
Vacek, J. Vacek, J., & Chocholoušová, J. (2008). Rock burst mechanics: Insight from physical and mathematical modelling. Acta Polytechnica, 48(6), 38–44. https://doi.org/10.14311/1071.
17.
Yang, Y. & Zhang, Z. (2022). Micro-fracture simulation of rock under unloading condition by grainbased discretized virtual internal bond method. International Journal of Applied Mechanics, 14(1), Article 2250001. https://doi.org/10.1142/S17588....
18.
Zhang, F., Guo, H., Zhao, J., Hu, D., Sheng, Q., & Shao, J. (2017). Experimental study of micromechanical properties of granite (in Chinese). Chinese Journal of Rock Mechanics and Engineering, 36(2), 3864–3872. http://dx.doi.org/10.13722/j.c....
19.
Zhang, Z. (2013). Discretized virtual internal bond model for nonlinear elasticity. International Journal of Solids and Structures, 50(22–23), 3618–3625. https://doi.org/10.1016/j.ijso....
20.
Zhang, Z., Chen, Y., & Zheng, H. (2014). A modified Stillinger–Weber potential-based hyperelastic constitutive model for nonlinear elasticity. International Journal of Solids and Structures, 51(7–8), 1542–1554. https://doi.org/10.1016/j.ijso....
21.
Zhang, Z., Yao, Y., & Mao, X. (2015). Modeling wave propagation induced fracture in rock with correlated lattice bond cell. International Journal of Rock Mechanics and Mining Sciences, 78, 262–270. https://doi.org/10.1016/j.ijrm....
22.
Zhao, F. & He, M.C. (2016). Size effects on granite behavior under unloading rockburst test. Bulletin of Engineering Geology and the Environment, 76(3), 1183–1197. https://doi.org/10.1007/s10064....
23.
Zhao, K., Zhao, H., & Jia, Q. (2015). An analysis of rockburst fracture micromorphology and study of its mechanism. Explosion and Shock Waves, 35(6), 913–918. https://doi.org/10.11883/1001-....
24.
Zheng, J. & Wang, L. (2024). Experimental study on creep loading of porous coal under different influencing factors. Facta Universitatis, Series: Mechanical Engineering, 22(1), 153–163. https://doi.org/10.22190/FUME2....
25.
Zhu, B., Fan, J., Shi, X., Liu, P., & Guo, J. (2022). Study on rockburst proneness of deep tunnel under different geo-stress conditions based on DEM. Geotechnical and Geological Engineering, 40(3), 1373–1386. https://doi.org/10.1007/s10706....
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| eISSN: | 2543-6309 |
| ISSN: | 1429-2955 |
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