Predictive models of ultimate and serviceability performances for underground twin caverns

- Journal title : Geomechanics and Engineering
- Volume 10, Issue 2, 2016, pp.175-188
- Publisher : Techno-Press
- DOI : 10.12989/gae.2016.10.2.175

Title & Authors

Predictive models of ultimate and serviceability performances for underground twin caverns

Zhang, Wengang; Goh, Anthony T.C.;

Zhang, Wengang; Goh, Anthony T.C.;

Abstract

The construction of a new cavern modifies the state of stresses and displacements in a zone around the existing cavern. For multiple caverns, the size of this influence zone depends on the ground type, the in situ stress, the cavern span and shape, the width of the pillar separating the caverns, and the excavation sequence. Performances of underground twin caverns can be unsatisfactory as a result of either instability (collapse) or excessive displacements. These two distinct failures should be prevented in design. This study simulated the ultimate and serviceability performances of underground twin rock caverns of various sizes and shapes. The global factor of safety is used as the criterion for determining the ultimate limit state and the calculated maximum displacement around the cavern opening is adopted as the serviceability limit state criterion. Based on the results of a series of numerical simulations, simple regression models were developed for estimating the global factor of safety and the maximum displacement, respectively. It was proposed that a proper pillar width can be determined based on the threshold influence factor value. In addition, design charts with regard to the selection of the pillar width for underground twin rock caverns under similar ground conditions were also developed.

Keywords

influence factor;ultimate and serviceability performances;pillar width;global factor of safety;maximum displacement;

Language

English

Cited by

References

1.

Adoko, A.C., Jiao, Y.Y., Wu, L., Wang, H. and Wang, Z.H. (2013), "Predicting tunnel convergence using Multivariate Adaptive Regression Spline and Artificial Neural Network", Tunn. Undergr. Space Technol., 38, 368-376.

2.

Barla, G. and Ottoviani, M. (1974), "Stresses and displacements around two adjacent circular openings near to the ground surface", Proceedings of the 3rd International Congress on Rock Mechanics, National Academy of Sciences, Denver, CO, USA, September, pp. 975-980.

3.

Basarir, H. (2008), "Analysis of rock-support interaction using numerical and multiple regression modeling", Can. Geotech. J., 45(1), 1-13.

4.

Bieniawski, Z.T. (1978), "Determining rock mass deformability: experience from case histories", Int. J. Rock Mech. Min. Sci. Geomech. Abstr., 15(5), 237-247.

5.

Bieniawski, Z.T. (1989), Engineering Rock Mass Classifications, John Wiley and Sons, New York, USA.

6.

Dawson, E.M., Roth, W.H. and Drescher, A. (1999), "Slope stability analysis by strength reduction", Geotechnique, 49(6), 835-840.

7.

Dawson, E.M., Motamed, F., Nesarajah, S. and Roth, W.H. (2000), "Geotechnical stability analysis by strength reduction", Proceedings of Sessions of Geo-Denver 2000-Slope Stability, 289, 99-113.

8.

Esterhuizen, G.S., Dolinar, D.R. and Ellenberger, J.L. (2011), "Pillar strength in underground stone mines in the United States", Int. J. Rock Mech. Min. Sci., 48(1), 42-50.

9.

Gercek, H. (2005), "Interaction between parallel underground openings", Proceedings of the 19th International Mining Congress and Fair of Turkey, IMCEV2005, Izmir, Turkey, pp. 73-81.

10.

Ghaboussi, J. and Ranken, R.E. (1977), "Interaction between two parallel tunnels", Int. J. Numer. Anal. Meth. Geomech., 1(1), 75-103.

11.

Goh, A.T.C. and Zhang, W.G. (2012), "Reliability assessment of stability of underground rock caverns", Int. J. Rock Mech. Min. Sci., 55, 157-163.

12.

Hammah, R.E., Yacoub, T. and Curran, J.H. (2007), "Serviceability-based slope factor of safety using the shear strength reduction (SSR) method", Proceedings of the 11th Congress of the International Society for Rock Mechanics, Lisbon, Portugal, July, pp. 1137-1140.

13.

Jiao, Y.Y., Song, L., Wang, X.Z. and Adoko, A.C. (2013a), "Improvement of the U-shaped steel sets for supporting the roadways in loose coal seam", Int. J. Rock Mech. Min. Sci., 60, 19-25.

14.

Jiao, Y.Y., Wang, Z.H., Wang, X.Z., Adoko, A.C. and Yang, Z.X. (2013b), "Stability assessment of an ancient landslide crossed by two coal mine tunnels", Eng. Geol., 159, 36-44.

15.

Jiao, Y.Y., Tian, H.N., Liu, Y.Z., Mei, R.W. and Li, H.B. (2015), "Prediction of tunneling hazardous geological zones using the active seismic approach". Near Surf. Geophys., 13(4), 333-342.

16.

Karademir, S.M. (2010), "A parametric study on three dimensional modeling of parallel tunnel interactions", Ph.D. Thesis; Middle East Technical University, Ankara, Turkey.

17.

Li, S.J., Feng, X.T. and Li, Z.H. (2012), "Evolution of fractures in the excavation damaged zone of a deeply buried tunnel during TBM construction", Int. J. Rock Mech. Min. Sci., 55, 125-138.

18.

Lu, Q., Chan, C.L. and Low, B.K. (2012), "Probabilistic evaluation of ground-support interaction for deep rock excavation using artificial neural network and uniform design", Tunn. Undergr. Space Technol., 32, 1-18.

19.

Mahdevari, S. and Torabi, S.R. (2012), "Prediction of tunnel convergence using Artificial Neural Networks", Tunn. Undergr. Space Technol., 28, 218-228.

20.

Matsui, T. and San, K.C. (1992), "Finite element slope stability analysis by shear strength reduction technique", Soil. Found., 32(1), 59-70.

21.

Mortazavi, A., Hassani, F.P. and Shabani, M. (2009), "A numerical investigation of rock pillar failure mechanism in underground openings", Comput. Geotech., 36(5), 691-697.

22.

Palmstrom, A. (2000), "On classification systems", Proceedings GeoEng2000, Melbourne, Australia, November.

23.

Rafiai, H. and Moosavi, M. (2012), "An approximate ANN-based solution for convergence of lined circular tunnels in elasto-plastic rock masses with anisotropic stresses", Tunn. Undergr. Space Technol., 27(1), 52-59.

24.

Serafim, J.L. and Pereira, J.P. (1983), "Considerations of the geomechanics classification of Bieniawski", Proceedings of the International Symposium on Engineering Geology and Underground Construction, Volume 1, Rotterdam, The Netherlands, month, pp. 1133-1142.

25.

Siahmansouri, A., Gholamnejad, J. and Marji, M.F. (2012), "A new method to predict ratio of width to height rock pillar in twin circular tunnels", J. Geol. Geosci., 1, 103. DOI: 10.4172/2329-6755.1000103

26.

Tugrul, A. (1998), "The application of rock mass classification systems to underground excavation in weak lime stone, Ataturk dam", Turkey Eng. Geol., 50(3-4), 337-345.

27.

Vermeer, P.A., Ruse, N. and Marcher, T. (2002), "Tunneling heading stability in drained ground", Felsbau 20(6), 8-18.

28.

Zhang, W.G. and Goh, A.T.C. (2012), "Reliability assessment on ultimate and serviceability limit states and determination of critical factor of safety for underground rock caverns", Tunn. Undergr. Space Technol., 32, 221-230.

29.

Zhang, W.G. and Goh, A.T.C. (2013), "Multivariate adaptive regression splines for analysis of geotechnical engineering systems", Comput. Geotech., 48, 82-95.