{"title":"Effect of Model Dimension in Numerical Simulation on Assessment of Water Inflow to Tunnel in Discontinues Rock","authors":"Hadi Farhadian, Homayoon Katibeh","volume":100,"journal":"International Journal of Civil and Environmental Engineering","pagesStart":358,"pagesEnd":362,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10001105","abstract":"
Groundwater inflow to the tunnels is one of the most
\r\nimportant problems in tunneling operation. The objective of this
\r\nstudy is the investigation of model dimension effects on tunnel inflow
\r\nassessment in discontinuous rock masses using numerical modeling.
\r\nIn the numerical simulation, the model dimension has an important
\r\nrole in prediction of water inflow rate. When the model dimension is
\r\nvery small, due to low distance to the tunnel border, the model
\r\nboundary conditions affect the estimated amount of groundwater flow
\r\ninto the tunnel and results show a very high inflow to tunnel. Hence,
\r\nin this study, the two-dimensional universal distinct element code
\r\n(UDEC) used and the impact of different model parameters, such as
\r\ntunnel radius, joint spacing, horizontal and vertical model domain
\r\nextent has been evaluated. Results show that the model domain extent
\r\nis a function of the most significant parameters, which are tunnel
\r\nradius and joint spacing.<\/p>\r\n","references":"[1] H. Farhadian, A. Aalianvari, H. Katibeh, \u201cOptimization of Analytical\r\nEquations of Groundwater Seepage into Tunnels: A Case Study of\r\nAmirkabir Tunnel,\u201d Journal geological society of India, 80 (1): 96-100,\r\n2012. doi: 0016-7622\/2012-80-1-96\/$\r\n[2] H. Farhadian, H. Katibeh, A.R. Sayadi, \u201cPrediction of Site Groundwater\r\nRating (SGR) for Amirkabir Tunnel Using Artificial Neural Networks,\u201d\r\nInternational Journal of Mining, Metallurgy & Mechanical Engineering\r\n(IJMMME) 1(1), 2013.\r\n[3] M. El Tani, \u201cCircular tunnel in a semi-infinite aquifer,\u201d Tunn Undergr\r\nSpace Technol 18(1):49\u201355, 2003. doi:10.1016\/S0886-7798(02)00102-5\r\n[4] P. Perrochet, \u201cConfined flow into a tunnel during progressive drilling:\r\nAn analytical solution,\u201d Ground Water 43(6):943\u2013946, 2005. doi:\r\n10.1111\/j.1745-6584.2005.00108.x\r\n[5] D. Kolymbas and P. Wagner, \u201cGroundwater ingress to tunnels \u2013 the\r\nexact analytical solution,\u201d Tunn Undergr Space Technol 22(1):23\u201327,\r\n2007. doi:10.1016\/j.tust.2006.02.001\r\n[6] P. Gattinoni, L. Scesi and S. Terrana, \u201cHydrogeological risk analysis for\r\ntunneling in anisotropic rock masses,\u201d In: Proceedings of the ITAAITES\r\nWorld Tunnel Congress \u201cUnderground Facilities for Better\r\nEnvironment & Safety\u201d, Arga, India, pp. 1736\u2013174, 2008.\r\n[7] J. Molinero, J. Samper and R. Juanes, \u201cNumerical modeling of the\r\ntransient hydrogeological response produced by tunnel construction in\r\nfractured bedrocks,\u201d Eng Geol 64(4):369\u2013386, 2002.\r\ndoi:10.1016\/S0013-7952(01)00099-0\r\n[8] J.H. Hwang, and C.C. Lu, \u201cA semi-analytical method for analyzing the\r\ntunnel water inflow,\u201d Tunn Undergr Space Technol 22(1):39\u2013 46, 2007.\r\ndoi:10.1016\/j.tust.2006.03.003\r\n[9] C. Zangerl, E. Eberhardt, K.F. Evans and S. Loew, \u201cConsolidation\r\nsettlements above deep tunnels in fractured crystalline rock: part 2,\r\nnumerical analysis of the Gotthard highway tunnel case study,\u201d Int J\r\nRock Mech Min Sci 45(8):1211\u20131225, 2008.\r\n[10] P. Gattinoni and L. Scesi, \u201cAn empirical equation for tunnel inflow\r\nassessment: application to sedimentary rock masses,\u201d Hydrogeology J\r\n18(8):1797\u20131810, 2010. doi: 10.1007\/s10040-010-0674-1\r\n[11] K. Esmaieli, J. Hadjigeorgiou and M. Grenon, \u201cEstimating geometrical\r\nand mechanical REV based on synthetic rock mass models at Brunswick\r\nMine,\u201d Int J Rock Mech Min Sci 47(6):915\u2013926, 2010.\r\ndoi:10.1016\/j.ijrmms.2010.05.010\r\n[12] B. Indraratna and P. Ranjith, \u201cEffects of boundary conditions and\r\nboundary block size on inflow to an underground excavation \u2013 sensivity\r\nanalysis,\u201d IMWA Proceedings, 1998.\r\n[13] D. Cesano, A.C. Bagtzoglou and B. Olofsson, \u201cQuantifying fractured\r\nrock hydraulic heterogeneity and groundwater inflow prediction in\r\nunderground excavations: the heterogeneity index,\u201d Tunn Undergr Space\r\nTechnol 18(1):19 \u201334, 2003.\r\n[14] J. Moon and G. Fernandez, \u201cEffect of Excavation-Induced Groundwater\r\nLevel Drawdown on Tunnel Inflow in a Jointed Rock Mass,\u201d Eng Geol\r\n110(3-4):33\u201342, 2010. doi:10.1016\/j.enggeo.2009.09.002\r\n[15] J. Moon and S. Jeong, \u201cEffect of highly pervious geological features on\r\nground water flow into a tunnel,\u201d Eng Geol 117(3-4):207\u2013216, 2011.\r\ndoi:10.1016\/j.enggeo.2010.10.019\r\n[16] C. Butscher, \u201cSteady-state groundwater inflow into a circular tunnel,\u201d\r\nTunn Undergr Space Technol 32:158\u2013167, 2012.\r\ndoi:10.1016\/j.tust.2012.06.007\r\n[17] H. Farhadian, H. Katibeh, \u201cGroundwater Seepage Estimation into\r\nAmirkabir Tunnel Using Analytical Methods and DEM and SGR\r\nMethod,\u201d World Academy of Science, Engineering and Technology,\r\nInternational Journal of Civil, Structural, Construction and Architectural\r\nEngineering 9(3), 2015.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 100, 2015"}