nach oben

Geotechnical and Geological Engineering

Erschienen in:

08.10.2018 | Original Paper

Estimation of Rock Mass Squeezing Potential in Tunnel Route (Case Study: Kerman Water Conveyance Tunnel)

verfasst von: Farshad Azizi, Mohammadreza Koopialipoor, Hasan Khoshrou

Erschienen in: Geotechnical and Geological Engineering | Ausgabe 3/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

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. Generally, tunneling is difficult and time-consuming under squeezing conditions. 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. In this study, the squeezing conditions of rock mass are investigated in the Kerman water conveyance tunnel. This tunnel transfers water from the Safa river dam to Kerman city for supply of drinking water. 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. Estimating of this phenomenon was done using empirical, semi-empirical, analytical theory approaches and a new probabilistic method called the Bayesian network. 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.

Vorheriger Artikel Data-Driven Modeling of Groundwater Level with Least-Square Support Vector Machine and Spatial–Temporal Analysis

Nächster Artikel Effect of Dune Sand Incorporation on the Physical and Mechanical Behaviour of Tuff: (Experimental Investigation)

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Agan C (2016) Prediction of squeezing potential of rock masses around the Suruc water tunnel. Bull Eng Geol Environ 75:451–468CrossRef

Aguilera PA, Fernández A, Fernández R et al (2011) Bayesian networks in environmental modelling. Environ Model Softw 26:1376–1388CrossRef

Ajalloeian R, Moghaddam B, Azimian A (2017) Prediction of rock mass squeezing of T4 tunnel in Iran. Geotech Geol Eng 35:747–763CrossRef

Asghar R, Lohrasb F, Mohammad D (2017) Squeezing rock conditions at phyllite-slate zone in Golab water conveyance tunnel, Iran: a case study. J Cent South Univ 24:2475–2485CrossRef

Aydan Ö, Akagi T, Kawamoto T (1993) The squeezing potential of rocks around tunnels; theory and prediction. Rock Mech Rock Eng 26:137–163CrossRef

Barla G (1995) Squeezing rocks in tunnels. ISRM News J 2:44–49

Barla G (2001) Tunnelling under squeezing rock conditions. Eurosummer-School Tunn Mech Innsbruck 169–268

Barton N, Lien R, Lunde J (1974) Engineering classification of rock masses for the design of tunnel support. Rock Mech 6:189–236CrossRef

Batchelor C, Cain J (1999) Application of belief networks to water management studies. Agric Water Manag 40:51–57CrossRef

Bieniawski ZT (1974) Geomechanics classification of rock masses and application in tunneling. In: Proceedings of 3rd international congress on rock mechanics, pp 27–32

Bieniawski ZT (1989) Engineering rock mass classifications: a complete manual for engineers and geologists in mining, civil, and petroleum engineering. Wiley, New York

Brown ET (1981) Rock characterization, testing & monitoring: ISRM suggested methods. Pergamon Press, New York

Cain JD, Jinapala K, Makin IW et al (2003) Participatory decision support for agricultural management. A case study from Sri Lanka. Agric Syst 76:457–482CrossRef

Deere DU, Peck RB, Monsees JE, Schmidt B (1969) Design of tunnel liners and support systems

Farrokh E, Mortazavi A, Shamsi G (2006) Evaluation of ground convergence and squeezing potential in the TBM driven Ghomroud tunnel project. Tunn Undergr Space Technol 21:504–510CrossRef

Feng X, Jimenez R (2015) Predicting tunnel squeezing with incomplete data using Bayesian networks. Eng Geol 195:214–224CrossRef

Ghaboussi J, Gioda G (1977) On the time-dependent effects in advancing tunnels. Int J Numer Anal Methods Geomech 1:249–269CrossRef

Gioda G (1981) A finite element solution of non-linear creep problems in rocks. Int J Rock Mech Min Sci Geomech Abstr 18(1):35–46CrossRef

Goel RK, Jethwa JL, Paithankar AG (1995) Tunnelling through the young Himalayas—a case history of the Maneri–Uttarkashi power tunnel. Eng Geol 39:31–44CrossRef

Hasanpour R, Rostami J, Ünver B (2014) 3D finite difference model for simulation of double shield TBM tunneling in squeezing grounds. Tunn Undergr Space Technol 40:109–126CrossRef

Hoek E (1994) Strength of rock and rock masses. ISRM News J 2:4–16

Hoek E (2007) Rock mass properties. Pract rock Eng. www.rocscience.com/learning/hoek-s-corner

Hoek E, Guevara R (2009) Overcoming squeezing in the Yacambú-Quibor tunnel, Venezuela. Rock Mech Rock Eng 42:389–418CrossRef

Hoek E, Marinos P (2000) Predicting tunnel squeezing problems in weak heterogeneous rock masses. Tunnels Tunn Int 32:45–51

Hoek E, Marinos P (2010) Tunnelling in overstressed rocks. Rock engineering in difficult ground conditions—soft rocks and karst. Taylor&Francis, London

Huang HW, Zhang J, Zhang LM (2012) Bayesian network for characterizing model uncertainty of liquefaction potential evaluation models. KSCE J Civ Eng 16:714–722CrossRef

Hudson JA (2009) Stresses in rock masses: a review of key points. In: ISRM Regional Symposium-EUROCK 2009. International Society for Rock Mechanics

Jethwa JL, Singh B, Singh B (1984) 28 Estimation of ultimate rock pressure for tunnel linings under squeezing rock conditions—a new approach. In: Design and performance of underground excavations: ISRM symposium—Cambridge, UK, 3–6 September 1984. Thomas Telford Publishing, pp 231–238

Jimenez-Rodriguez R, Sitar N (2006) Inference of discontinuity trace length distributions using statistical graphical models. Int J Rock Mech Min Sci 43:877–893CrossRef

Kallhawy FH (1974) Finite element modeling criteria for underground opening in rock. Int J Rock Mech Min Sci Geomech Abstr 11:465–472CrossRef

Khanlari G, Meybodi RG, Mokhtari E (2012) Engineering geological study of the second part of water supply Karaj to Tehran tunnel with emphasis on squeezing problems. Eng Geol 144–145:9–17. https://doi.org/10.1016/j.enggeo.2012.06.001 CrossRef

Landuyt D, Broekx S, D’hondt R et al (2013) A review of Bayesian belief networks in ecosystem service modelling. Environ Model Softw 46:1–11CrossRef

Malan FRP (1998) Ultra-deep mining: the increased potential for squeezing conditions. J S Afr Inst Min Metall 98:353–363

Malan DF (1999) Time-dependent behaviour of deep level tabular excavations in hard rock. Rock Mech Rock Eng 32:123–155CrossRef

Medina-Cetina Z, Nadim F (2008) Stochastic design of an early warning system. Georisk 2:223–236

Mesri G, Febres-Cordero E, Dr Shields, Castro A (1981) Shear stress–strain–time behaviour of clays. Geotechnique 31:537–552CrossRef

Pan YW, Dong JJ (1991) Time-dependent tunnel convergence—II. Advance rate and tunnel-support interaction. Int J Rock Mech Min Sci Geomech Abstr 28(6):477–488CrossRef

Pearl J (1985) Bayesian networks: a model of self-activated memory for evidential reasoning. In: Proceedings of the 7th conference of the cognitive science society, pp 329–334

Peng M, Li XY, Li DQ et al (2014) Slope safety evaluation by integrating multi-source monitoring information. Struct Saf 49:65–74CrossRef

Saeed MS, Maarefvand P (2014) Engineering geological study of NWCT tunnel in Iran with emphasis on squeezing problems. Indian Geotech J 44:357–369CrossRef

Schubert M, Høj NP, Ragnøy A, Buvik H (2012) Risk assessment of road tunnels using Bayesian networks. Procedia Soc Behav Sci 48:2697–2706CrossRef

Semple RM, Hendron AJ, Mesri G (1973) The effect of time-dependent properties of altered rock on tunnel support requirements

Shalabi FI (2005) FE analysis of time-dependent behavior of tunneling in squeezing ground using two different creep models. Tunn Undergr Space Technol 20:271–279CrossRef

Shrestha GL, Broch E (2008) Influences of the valley morphology and rock mass strength on tunnel convergence: with a case study of Khimti 1 headrace tunnel in Nepal. Tunn Undergr Space Technol 23:638–650CrossRef

Singh B, Goel RK (1999) Rock mass classification: a practical approach in civil engineering. Elsevier, Amsterdam

Singh B, Jethwa JL, Dube AK, Singh B (1992) Correlation between observed support pressure and rock mass quality. Tunn Undergr Space Technol 7:59–74CrossRef

Singh M, Rao KS, Ramamurthy T (2002) Strength and deformational behaviour of a jointed rock mass. Rock Mech Rock Eng 35:45–64CrossRef

Singh M, Singh B, Choudhari J (2007) Critical strain and squeezing of rock mass in tunnels. Tunn Undergr Space Technol 22:343–350CrossRef

Song Y, Gong J, Gao S et al (2012) Susceptibility assessment of earthquake-induced landslides using Bayesian network: a case study in Beichuan, China. Comput Geosci 42:189–199CrossRef

Sousa RL, Einstein HH (2012) Risk analysis during tunnel construction using Bayesian Networks: Porto Metro case study. Tunn Undergr Space Technol 27:86–100CrossRef

Sulem J, Panet M, Guenot A (1987) An analytical solution for time-dependent displacements in a circular tunnel. Int J Rock Mech Min Sci Geomech Abstr 24(3):155–164CrossRef

Terzaghi K (1946) Rock defects and loads on tunnel supports

Wiesmann E (1912) Mountain pressure. Switz J Struct 60:15

Zhang LM, Xu Y, Jia JS, Zhao C (2011) Diagnosis of embankment dam distresses using Bayesian networks. Part I. Global-level characteristics based on a dam distress database. Can Geotech J 48:1630–1644CrossRef

Titel: Estimation of Rock Mass Squeezing Potential in Tunnel Route (Case Study: Kerman Water Conveyance Tunnel)
verfasst von: Farshad Azizi
Mohammadreza Koopialipoor
Hasan Khoshrou
Publikationsdatum: 08.10.2018
Verlag: Springer International Publishing
Erschienen in: Geotechnical and Geological Engineering / Ausgabe 3/2019
Print ISSN: 0960-3182
Elektronische ISSN: 1573-1529
DOI: https://doi.org/10.1007/s10706-018-0714-5

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 3/2019

Seismic Stability Analysis of Waterfront Rock Slopes Using the Modified Pseudo-Dynamic Method

Analysis on Construction Mechanical Mechanism of Highway Tunnels with Large Span and Small Spacing

Study on Stability of Goaf Pillars in Daqiao Phosphate Mine: Theoretical Calculation and Field Investigation

Numerical Simulation Study on the Anchorage Mechanism of Yield Supporting in Deep Tunnel

Comparison Between Two Approaches for Non-linear FEM Modelling of the Seismic Behaviour of a Coupled Soil–Structure System

Barite Mine Design Using Integrated Surface Geophysical Surveying and Modeling