![]() ![]() ![]() Int J Rock Mech Min Sci Geomech Abstr 11:465–472 Kallhawy FH (1974) Finite element modeling criteria for underground opening in rock. Jimenez-Rodriguez R, Sitar N (2006) Inference of discontinuity trace length distributions using statistical graphical models. In: Design and performance of underground excavations: ISRM symposium-Cambridge, UK, 3–6 September 1984. Jethwa JL, Singh B, Singh B (1984) 28 Estimation of ultimate rock pressure for tunnel linings under squeezing rock conditions-a new approach. Hudson JA (2009) Stresses in rock masses: a review of key points. Huang HW, Zhang J, Zhang LM (2012) Bayesian network for characterizing model uncertainty of liquefaction potential evaluation models. Rock engineering in difficult ground conditions-soft rocks and karst. Hoek E, Marinos P (2010) Tunnelling in overstressed rocks. Hoek E, Marinos P (2000) Predicting tunnel squeezing problems in weak heterogeneous rock masses. Hoek E, Guevara R (2009) Overcoming squeezing in the Yacambú-Quibor tunnel, Venezuela. Hoek E (1994) Strength of rock and rock masses. Hasanpour R, Rostami J, Ünver B (2014) 3D finite difference model for simulation of double shield TBM tunneling in squeezing grounds. Goel RK, Jethwa JL, Paithankar AG (1995) Tunnelling through the young Himalayas-a case history of the Maneri–Uttarkashi power tunnel. Int J Rock Mech Min Sci Geomech Abstr 18(1):35–46 Gioda G (1981) A finite element solution of non-linear creep problems in rocks. Int J Numer Anal Methods Geomech 1:249–269 Ghaboussi J, Gioda G (1977) On the time-dependent effects in advancing tunnels. Tunn Undergr Space Technol 21:504–510įeng X, Jimenez R (2015) Predicting tunnel squeezing with incomplete data using Bayesian networks. Agric Syst 76:457–482ĭeere DU, Peck RB, Monsees JE, Schmidt B (1969) Design of tunnel liners and support systemsįarrokh E, Mortazavi A, Shamsi G (2006) Evaluation of ground convergence and squeezing potential in the TBM driven Ghomroud tunnel project. Pergamon Press, New YorkĬain JD, Jinapala K, Makin IW et al (2003) Participatory decision support for agricultural management. Wiley, New Yorkīrown ET (1981) Rock characterization, testing & monitoring: ISRM suggested methods. In: Proceedings of 3rd international congress on rock mechanics, pp 27–32īieniawski ZT (1989) Engineering rock mass classifications: a complete manual for engineers and geologists in mining, civil, and petroleum engineering. Agric Water Manag 40:51–57īieniawski ZT (1974) Geomechanics classification of rock masses and application in tunneling. Rock Mech 6:189–236īatchelor C, Cain J (1999) Application of belief networks to water management studies. Eurosummer-School Tunn Mech Innsbruck 169–268īarton N, Lien R, Lunde J (1974) Engineering classification of rock masses for the design of tunnel support. ISRM News J 2:44–49īarla G (2001) Tunnelling under squeezing rock conditions. Rock Mech Rock Eng 26:137–163īarla G (1995) Squeezing rocks in tunnels. J Cent South Univ 24:2475–2485Īydan Ö, Akagi T, Kawamoto T (1993) The squeezing potential of rocks around tunnels theory and prediction. Geotech Geol Eng 35:747–763Īsghar R, Lohrasb F, Mohammad D (2017) Squeezing rock conditions at phyllite-slate zone in Golab water conveyance tunnel, Iran: a case study. Environ Model Softw 26:1376–1388Ījalloeian R, Moghaddam B, Azimian A (2017) Prediction of rock mass squeezing of T4 tunnel in Iran. Bull Eng Geol Environ 75:451–468Īguilera PA, Fernández A, Fernández R et al (2011) Bayesian networks in environmental modelling. The results showed that the tunneling has a squeezing problem, especially in the ET-21 zone, which is due to the existence of the tectonic and faulted area along with weak rock properties.Īgan C (2016) Prediction of squeezing potential of rock masses around the Suruc water tunnel. Estimating of this phenomenon was done using empirical, semi-empirical, analytical theory approaches and a new probabilistic method called the Bayesian network. Firstly, geological zones, characteristics of rock mass, intact rock and classification of rock mass are presented and then, the estimation of the squeezing potential along Kerman water conveyance tunnel is investigated. This tunnel transfers water from the Safa river dam to Kerman city for supply of drinking water. In this study, the squeezing conditions of rock mass are investigated in the Kerman water conveyance tunnel. ![]() For this reason, it is very important to identify and estimate the squeezing conditions of rock mass in selecting a suitable excavation method and proper support system. Generally, tunneling is difficult and time-consuming under squeezing conditions. One of the most important stages in the design and construction of underground spaces is the evaluation of ground conditions and the risks of tunneling, and in particular the squeezing potential of rock mass. ![]()
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