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Abstrakty
Joints greatly affect the mechanical behavior and crack evolution of jointed rock masses. In this paper, numerical specimens containing pre-existing random joints are constructed based on a combination of the fat-joint and smooth-joint models in the particle flow code in two dimensions (PFC2D). Then, uniaxial compression of these specimens is carried out to reveal the influence of joint length or number on the mechanical behavior, crack development, acoustic emission (AE) event attributes and failure characteristics. The results suggest that a univariant increase in random joint length or number leads to a nonlinear decrease in the uniaxial compressive strength (UCS) and a linear decrease in the elastic modulus, while the fracture behavior of the specimens shows a transformation from brittle to ductile in this process. With increasing joint length or number, the cracks and AE events generated in the joints significantly increase and exceed those generated in the intact rock. Tension cracks play a dominant role in the development of cracks within intact rock, while shear cracks dominate the crack evolution of random joints. More cracks appear in the jointed rock specimens at the elastic deformation stage as the joint length or number increases. The variation in the joint length or number strongly influences the mechanical behavior, crack evolution and failure pattern of the randomly jointed rock specimen.
Wydawca
Czasopismo
Rocznik
Tom
Strony
2427--2441
Opis fizyczny
Bibliogr. 26 poz.
Twórcy
autor
- College of Architecture and Civil Engineering, Shihe District, Xinyang Normal University, No. 237, Nanhu Road, Xinyang City 464000, Henan Province, China
autor
- College of Architecture and Civil Engineering, Shihe District, Xinyang Normal University, No. 237, Nanhu Road, Xinyang City 464000, Henan Province, China
autor
- College of Architecture and Civil Engineering, Shihe District, Xinyang Normal University, No. 237, Nanhu Road, Xinyang City 464000, Henan Province, China
autor
- State Key Laboratory of Mining Disaster Prevention and Control Co-Founded By Shandong Province and The Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
Bibliografia
- 1. Bahrani N, Kaiser PK (2016) Numerical investigation of the influence of specimen size on the unconfined strength of defected rocks. Comput Geotech 77:56–67. https://doi.org/10.1016/j.compgeo.2016.04.004
- 2. Bahrani N, Kaiser PK (2017) Estimation of confined peak strength of crack-damaged rocks. Rock Mech Rock Eng 50(2):309–326. https://doi.org/10.1007/s00603-016-1110-1
- 3. Daphalapurkar NP, Ramesh KT, Graham-Brady L, Molinari JF (2011) Predicting variability in the dynamic failure strength of brittle materials considering pre-existing flaws. J Mech Phys Solids 59:297–319. https://doi.org/10.1016/j.jmps.2010.10.006
- 4. Farahmand K, Vazaios I, Diederichs MS, Vlachopoulos N (2018) Investigating the scale-dependency of the geometrical and mechanical properties of a moderately jointed rock using a synthetic rock mass (SRM) approach. Comput Geotech 95:162–179. https://doi.org/10.1016/j.compgeo.2017.10.002
- 5. Gao FQ, Kang HP (2016) Effects of pre-existing discontinuities on the residual strength of rock mass—insight from a discrete element method simulation. J Struct Geol 85:40–50. https://doi.org/10.1016/j.jsg.2016.02.010
- 6. Huang CC, Yang WD, Duan K, Fang LD, Wang L, Bo CJ (2019) Mechanical behaviors of the brittle rock-like specimens with multi-nonpersistent joints under uniaxial compression. Construct Build Mater 220:426–443. https://doi.org/10.1016/j.conbuildmat.2019.05.159
- 7. Itasca Consulting Group Inc (2016) PFC2D-particle flow code in 2 dimensions, version 5.0. Minneapolis, MN, USA
- 8. Jia LC, Chen M, Zhang W, Xu T, Zhou Y, Hou B, Jin Y (2013) Experimental study and numerical modeling of brittle fracture of carbonate rock under uniaxial compression. Mech Res Commun 50:58–62. https://doi.org/10.1016/j.mechrescom.2013.04.002
- 9. Jiang SQ, Li X, Tan YQ, Liu HH, Xu ZQ, Chen R (2017) Discrete element simulation of SiC ceramic with pre-existing random flaws under uniaxial compression. Ceram Int 43:13717–13728. https://doi.org/10.1016/j.ceramint.2017.07.084
- 10. Lei QH, Latham JP, Tsang CF (2017) The use of discrete fracture networks for modelling coupled geomechanical and hydrological behavior of fractured rocks. Comput Geotech 85:151–176. https://doi.org/10.1016/j.compgeo.2016.12.024
- 11. Liu RC, Jiang YJ, Li B, Wang XS (2015) A fractal model for characterizing fluid flow in fractured rock masses based on randomly distributed rock fracture networks. Comput Geotech 65:45–55. https://doi.org/10.1016/j.compgeo.2014.11.004
- 12. Ma WQ, Wang TX (2020) Numerical study of the influence of joint angle on the failure behavior of randomly and nonpersistently jointed rock mass. Arab J Sci Eng 45(5):4023–4036. https://doi.org/10.1007/s13369-020-04361-5
- 13. Ma C, Yao WM, Yao Y, Li J (2018) Simulating strength parameters and size effect of stochastic jointed rock mass using DEM method. KSCE J Civ Eng 22(12):4872–4881. https://doi.org/10.1007/s12205-017-1581-y
- 14. Peng J, Wong LNY, Teh CL (2018) A re-examination of slenderness ratio effect on rock strength: Insights from DEM grain-based modelling. Eng Geol 246:245–254. https://doi.org/10.1016/j.enggeo.2018.10.003
- 15. Potyondy D (2012) Flat-joint contact model (PFC3D), version 1.0. Itasca Consulting Group, Inc., Minneapolis, MN
- 16. Potyondy D (2013) Flat-joint contact model (PFC3D), version 1.0. Itasca Consulting Group, Inc., Minneapolis, MN.
- 17. Saadat M, Tah A (2019) A numerical approach to investigate the effects of rock texture on the damage and crack propagation of a pre-cracked granite. Comput Geotech 111:89–111. https://doi.org/10.1016/j.compgeo.2019.03.009
- 18. Stavrou A, Murphy W (2018) Quantifying the effects of scale and heterogeneity on the confined strength of micro-defected rocks. Int J Rock Mech Min 102:131–143. https://doi.org/10.1016/j.ijrmms.2018.01.019
- 19. Vazaios I, Farahmand K, Vlachopoulos N, Diederichs MS (2018) Effects of confinement on rock mass modulus: a synthetic rock mass modelling (SRM) study. J Rock Mech Geotech 10(3):436–456. https://doi.org/10.1016/j.jrmge.2018.01.002
- 20. Wang PT, Yang TH, Xu T, Cai MF, Li CH (2016) Numerical analysis on scale effect of elasticity, strength and failure patterns of jointed rock masses. Geosci J 20:539–549. https://doi.org/10.1007/s12303-015-0070-x
- 21. Wang PT, Yang TH, Yu QL, Liu HL, Zhang PH (2013) Characterization on jointed rock masses based on PFC2D. Front Struct Civ Eng 7(1):32–38. https://doi.org/10.1007/s11709-013-0187-9
- 22. Wang X, Cai M (2019) A DFN–DEM multi-scale modeling approach for simulating tunnel excavation response in jointed rock masses. Rock Mech Rock Eng 53(3):1053–1077. https://doi.org/10.1007/s00603-019-01957-8
- 23. Wu N, Liang ZZ, Li YC, Li H, Li WR, Zhang ML (2019a) Stress-dependent anisotropy index of strength and deformability of jointed rock mass: insights from a numerical study. Bull Eng Geo Enviro 78:5905–5917. https://doi.org/10.1007/s10064-019-01483-5
- 24. Wu SC, Chen L, Cheng ZQ (2019b) Macro and meso research on the zonal disintegration phenomenon and the mechanism of deep brittle rock mass. Eng Fract Mech 211:254–268. https://doi.org/10.1016/j.engfracmech.2019.02.023
- 25. Zhang XL, Jiao YY, Zhao J (2008) Simulation of failure process of jointed rock. J Cent South Univ T 15(6):888–894. https://doi.org/10.1007/s11771-008-0162-0
- 26. Zou YS, Zhang SC, Ma XF, Zhou T, Zeng B (2016) Numerical investigation of hydraulic fracture network propagation in naturally fractured shale formations. J Struct Geol 84:1–13. https://doi.org/10.1016/j.jsg.2016.01.004
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-23942be6-a836-43e4-ad15-7ccf1473429b