Numerical Study of Effect of Input Energy on Dynamic Rock Fragmentation using SHPB Test

Document Type : Original Research

Authors
School of Civil and Environmental Engineering, Tarbiat Modares University
Abstract
In mechanics of rock fracture and comminution, researchers have always been looking for a relationship between the consumed energy and the particle size distribution of the disintegrated rock specimen. This relationship has important industrial applications considering the fact that comminution of rock is a very energy demanding process and its efficiency is very low. Furthermore, investigating the damage evolution of rock under different loading rates, helps to better understand and more accurately design rock structures such as tunnels, rock slopes and foundations subjected to dynamic loading. In this work, a hybrid finite-discrete element numerical model was used to simulate rock disintegration under different loading rates in the Split Hopkinson Pressure Bar (SHPB) system. The rock and the steel bars in the SHPB apparatus were simulated by the Bonded Particle Model (BPM) and finite element model, respectively. BPM is a simplified version of the discrete element method in which the discrete particles are spherical in shape. Spherical particles or balls in the BPM are very useful in reducing the computational time; the contact detection of the spherical particles is computationally very fast. The computer program CA3, which is a 3D code for static, dynamic and nonlinear simulation of geomaterials was used for the numerical analysis. To capture the rate dependent behavior of rock, a micromechanical model was utilized in which the bond strength at a contact point increases as a function of relative velocity of involved particles. The numerical model was calibrated to mimic the mechanical behavior of Masjed Soleyman sandstone. To facilitate and expedite the calibration process of the BPM system, the curves and dimensionless parameters introduced in the literature were used. Input pulses with different intensities were applied to the specimen in the numerical modeling of the SHPB system. The input energy and the energy consumed to disintegrate the numerical rock specimen were evaluated by the numerical integration. Different particle sizes in the BPM system were used to investigate the impact of combined particle size and input energy on the rock disintegration. The results suggest that the energy consumption density for rock crushing changes linearly with the stress rate. Furthermore, it is shown that the dynamic strength of the rock increases with the increase in the consumed energy density. The disintegrated numerical specimen was carefully inspected and its particle size distribution was obtained. This was achieved by using a searching algorithm to identify the clusters in the damaged specimen; each cluster was made of one or several spherical particles. The volume of each cluster was calculated by finding the volume of its constituent particles and the porosity of the specimen. This volume was used to obtain the equivalent radius of the cluster; the cluster shape was imagined as a sphere to identify the equivalent particle or cluster size. The mean particle size (D50) of the damaged numerical specimen shows a linear relationship with the stress rate in a logarithmic coordinate system, which is consistent with the physical test results reported in the literature.



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[1]. Li, X.B., Lok, T.S. and Zhao, J., 2005. Dynamic characteristics of granite subjected to intermediate loading rate. Rock Mechanics and Rock Engineering, 38(1), pp.21-39.
[2]. Zhao, J., Zhou, Y.X., Hefny, A.M., Cai, J.G., Chen, S.G., Li, H.B., Liu, J.F., Jain, M., Foo, S.T. and Seah, C.C., 1999. Rock dynamics research related to cavern development for ammunition storage. Tunnelling and Underground Space Technology, 14(4), pp.513-526.
[3]. Li Q. M., Meng H. 2003. About the dynamic strength enhancement of concrete-like ‎materials in a split Hopkinson pressure bar test, Int. J. Solids Struct., vol. ‎‏40‏‎, no. ‎‏2‏‎, pp. ‎‏343-36.
[4]. Li X. B., Lok T. S., Zhao J., Zhao P. J. ‎‏2000. Oscillation elimination in the ‎Hopkinson bar apparatus and resultant complete dynamic stress-strain curves for ‎rocks, Int. J. Rock Mech. Min. Sci., vol. ‎‏37‏‎, no. ‎‏7‏‎, pp. ‎‏1055‏‎–‎‏1060‏‎.‎
[5]. Bazant Z. P., Kazemi M. T., Hasegawa T. 1991. Size effect in brazilian splitcylinder tests: measurements and fracture analysis, ACI Material Journal, vol.88, pp.325-332.
[6]. Demirdag, S., Tufekci, K.E.N.A.N., Kayacan, R., Yavuz, H. and Altindag, R., 2010. Dynamic mechanical behavior of some carbonate rocks. International Journal of Rock Mechanics and Mining Sciences, 47(2), pp.307-312.
[7]. Grady, D.E. and Kipp, M.E., 1980, June. Continuum modelling of explosive fracture in oil shale. In International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts (Vol. 17, No. 3, pp. 147-157). Pergamon.
[8]. Whittles, D.N., Kingman, S., Lowndes, I. and Jackson, K., 2006. Laboratory and numerical investigation into the characteristics of rock fragmentation. Minerals Engineering, 19(14), pp.1418-1429.
[9]. Hogan, J.D., Rogers, R.J., Spray, J.G. and Boonsue, S., 2012. Dynamic fragmentation of granite for impact energies of 6–28 J. Engineering Fracture Mechanics, 79, pp.103-125.
[10]. Gong, F., Jia, H., Zhang, Z., Hu, J. and Luo, S., 2020. Energy dissipation and particle size distribution of granite under different incident energies in SHPB compression tests. Shock and Vibration, 2020.
[11]. Zhang, Z.X., Kou, S.Q., Jiang, L.G. and Lindqvist, P.A., 2000. Effects of loading rate on rock fracture: fracture characteristics and energy partitioning. International Journal of Rock Mechanics and Mining Sciences, 37(5), pp.745-762.
[12]. Hong, L., Zhou, Z.L., Yin, T.B., Liao, G.Y. and Ye, Z.Y., 2009. Energy consumption in rock fragmentation at intermediate strain rate. Journal of Central South University of Technology, 16(4), pp.677-682.
[13]. Zhou, Y.X., Xia, K.W., Li, X.B., Li, H.B., Ma, G.W., Zhao, J., Zhou, Z.L. and Dai, F., 2011. Suggested methods for determining the dynamic strength parameters and mode-I fracture toughness of rock materials. In The ISRM Suggested Methods for Rock Characterization, Testing and Monitoring: 2007-2014 (pp. 35-44). Springer, Cham.
[14]. Lu, Y.B., Li, Q.M. and Ma, G.W., 2010. Numerical investigation of the dynamic compressive strength of rocks based on split Hopkinson pressure bar tests. International Journal of Rock Mechanics and Mining Sciences, 47(5), pp.829-838.
[15]. Cundall, P.A., 1971. A computer model for simulating progressive, large-scale movement in blocky rock system. In Proceedings of the International Symposium on Rock Mechanics, 1971.
[16]. Wang, Y. and Tonon, F., 2011. Dynamic validation of a discrete element code in modeling rock fragmentation. International Journal of Rock Mechanics and Mining Sciences, 48(4), pp.535-545.
[17]. Fakhimi A. 2009. A hybrid discrete–finite element model for numerical simulation of geomaterials. Comput Geotech 36:386–395.
[18]. Davies R. M. 1948. A Critical Study of the Hopkinson Pressure Bar, Philos. Trans. R. ‎Soc. A Math. Phys. Eng. Sci., vol. ‎‏240‏‎, no. 821‏‎, pp. ‎‏375‏‎–‎‏457.
[19]. Kolsky, H., 1963. Stress waves in solids (Vol. 1098). Courier Corporation.
[20]. Lundberg, B., 1976, June. A split Hopkinson bar study of energy absorption in dynamic rock fragmentation. In International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts (Vol. 13, No. 6, pp. 187-197). Pergamon.
[21]. Gong, F. and Hu, J., 2020. Energy dissipation characteristic of red sandstone in the dynamic Brazilian disc test with SHPB setup. Advances in Civil Engineering, 2020.
[22]. Xie, H., Li, L., Peng, R. and Ju, Y., 2009. Energy analysis and criteria for structural failure of rocks. Journal of Rock Mechanics and Geotechnical Engineering, 1(1), pp.11-20.
[23]. Fakhimi A., Azhdari P., Kimberley J. 2018. Physical and numerical evaluation of rock strength in Split Hopkinson Pressure Bar testing. Comput Geotech 102:1-11.
[24]. Majedi, M.R., Afrazi, M. and Fakhimi, A., 2020, June. FEM-BPM simulation of SHPB testing for measurement of rock tensile strength. In 54th US rock mechanics/geomechanics symposium. Golden, Colorado.
[25]. Asadi, P., Ashrafi, M.J. and Fakhimi, A., 2022. Physical and numerical evaluation of effect of specimen size on dynamic tensile strength of rock. Computers and Geotechnics, 142, p.104538.
[26]. Fakhimi A., Villegas T. 2007 Application of dimensional analysis in calibration of a discrete element model for rock deformation and fracture. Rock Mech Rock Eng 40: 193–211.
[27]. Rougier, E., Knight, E.E., Sussman, A.J., Swift, R.P., Bradley, C.R., Munjiza, A., Broome, S.T., 2011, June. The Combined Finite-Discrete Element Method Applied to the Study of Rock Fracturing Behavior In 3D. 45th U.S. Rock Mechanics / Geomechanics Symposium, San Francisco, California.
[28]. Li X., Zou Y., Zhou Z. 2014. Numerical Simulation of the Rock SHPB Test with a Special Shape Striker Based on the Discrete Element Method, Rock Mech. Rock Eng., vol. 47, no. 5, pp. 1693–1709.
[29]. Li, X.B., Lok, T.S. and Zhao, J., 2005. Dynamic characteristics of granite subjected to intermediate loading rate. Rock Mechanics and Rock Engineering, 38(1), pp.21-39.
[30]. Xia, K., Nasseri, M.H.B., Mohanty, B., Lu, F., Chen, R. and Luo, S.N., 2008. Effects of microstructures on dynamic compression of Barre granite. International Journal of Rock Mechanics and Mining Sciences, 45(6), pp.879-887.
[31]. Doan, M.L. and Gary, G., 2009. Rock pulverization at high strain rate near the San Andreas fault. Nature Geoscience, 2(10), pp.709-712.
[32]. Zhang, Q.B. and Zhao, J., 2013. Determination of mechanical properties and full-field strain measurements of rock material under dynamic loads. International Journal of Rock Mechanics and Mining Sciences, 60, pp.423-439.
[33]. Wang, F., Liu, S. and Cao, L., 2020. Research on dynamic compressive behaviors of marble under high strain rates with split Hopkinson pressure bar. Journal of Structural Geology, 138, p.104095.
[34]. Luo, Y., Wang, G., Li, X., Liu, T., Mandal, A.K., Xu, M. and Xu, K., 2020. Analysis of energy dissipation and crack evolution law of sandstone under impact load. International Journal of Rock Mechanics and Mining Sciences, 132, p.104359.
[35]. Forrestal, M.J., Grady, D.E. and Schuler, K.W., 1978. Experimental method to estimate the dynamic fracture strength of oil shale in the 103 to 104 s-1 strain rate regime. Int. J. Rock Mech. Min. Sci.; (United States), 15(5).