A TBM tunnel collapse risk prediction model based on AHP and normal cloud model |
Wang, Peng
(Geotechnical and Structural Engineering Research Center, Shandong University)
Xue, Yiguo (Geotechnical and Structural Engineering Research Center, Shandong University) Su, Maoxin (Geotechnical and Structural Engineering Research Center, Shandong University) Qiu, Daohong (Geotechnical and Structural Engineering Research Center, Shandong University) Li, Guangkun (Geotechnical and Structural Engineering Research Center, Shandong University) |
1 | Yagiz, S. (2008), "Utilizing rock mass properties for predicting TBM performance in hard rock condition", Tunn. Undergr. Space Technol., 23(3), 326-339. https://doi.org/10.1016/j.tust.2007.04.011. DOI |
2 | Zhang, G.H., Jiao, Y.Y., Chen, L.B., Wang, H. and Li, S.C. (2016), "Analytical model for assessing collapse risk during mountain tunnel construction", Can. Geotech. J., 53(2), 326-342. https://doi.org/10.1139/cgj-2015-0064. DOI |
3 | Hao, J., Shi, K.B., Wang, X.L., Bai, X.J. and Chen, G.M. (2016), "Application of cloud model to rating of rockburst based on rough set of FCM algorithm", Rock Soil Mech., 37(3), 859-874. https://doi.org/10.16285/j.rsm.2016.03.031. DOI |
4 | Wang, Y.C., Jing, H.W., Zhang, Q., Wei, L.Y. and Xu, Z.M. (2015), "A normal cloud model-based study of grading prediction of rockburst intensity in deep underground engineering", Rock Soil Mech., 36(4), 1189-1194. https://doi.org/10.16285/j.rsm.2015.04.037. DOI |
5 | Adoko, A.C., Gokceoglu, C. and Yagiz, S. (2017), "Bayesian prediction of TBM penetration rate in rock mass", Eng. Geol., 226, 245-256. https://doi.org/10.1016/j.enggeo.2017.06.014. DOI |
6 | Dikmen, I. and Birgonul, M.T. (2006), "An analytic hierarchy process based model for risk and opportunity prediction of international construction projects", Can. J. Civil Eng., 33(1), 58-68. https://doi.org/10.1139/l05-087. DOI |
7 | Li, S.C., Nie, L.C. and Liu, B. (2018), "The practice of forward prospecting of adverse geology applied to hard rock tbm tunnel construction: the case of the songhua river water conveyance project in the middle of Jilin Province", Eng., 4(1), 131-137. https://doi.org/10.1016/j.eng.2017.12.010. DOI |
8 | Qiu, D.H., Li, S.C., Xue, Y.G. and Qin, S. (2014), "Prediction study of tunnel collapse risk in advance based on efficacy coefficient method and geological forecast", J. Eng. Sci. Technol. Rev., 7(4), 156-162. |
9 | Reilly, J.J. (2000), "The management process for complex underground and tunneling projects", Tunn. Undergr. Space Technol., 15(1), 31-44. https://doi.org/10.1016/S0886-7798(00)00026-2. DOI |
10 | Su, M.X., Wang, P., Xue, Y.G., Qiu, D.H., Li, Z.Q., Xia, T. and Li, G.K. (2019), "Prediction of risk in submarine tunnel construction by multi-factor analysis: A collapse prediction model", Mar. Geores. Geotechnol., 37(9), 1119-1129. https://doi.org/10.1080/1064119X.2018.1535635. DOI |
11 | Xue, Y.G., Li, X., Qiu, D.H., Ma, X.M., Kong, F.M., Qu, C.Q. and Zhao, Y. (2019), "Stability evaluation for the excavation face of shield tunnel across the Yangtze River by multi-factor analysis", Geomech. Eng., 19(3), 283-293. https://doi.org/10.12989/gae.2019.19.3.283. DOI |
12 | Xue, Y.G., Zhang, X.L., Li, S.C., Qiu, D.H., Su, M.X., Li, L.P., Li, Z.Q. and Tao, Y.F. (2018), "Analysis of factors influencing tunnel deformation in loess deposits by data mining: A deformation prediction model", Eng. Geol., 232, 94-103. https://doi.org/10.1016/j.enggeo.2017.11.014. DOI |
13 | Sapigni, M., Berti, M., Bethaz, E., Busillo, A. and Cardone, G. (2002), "TBM performance estimation using rock mass classifications", Int. J. Rock Mech. Min. Sci., 39(6), 771-788. https://doi.org/10.1016/S1365-1609(02)00069-2. DOI |
14 | Font-Capo, J., Vazquez-Sune, E., Carrera, J., Marti, D., Carbonell, R. and Perez-Estaun, A. (2011), "Groundwater inflow prediction in urban tunneling with a tunnel boring machine (TBM)", Eng. Geol., 121(1-2), 46-54. https://doi.org/10.1016/j.enggeo.2011.04.012. DOI |
15 | Gong, Q.M., Yin, L.J., Wu, S.Y., Zhao, J. and Ting, Y. (2012), "Rock burst and slabbing failure and its influence on TBM excavation at headrace tunnels in Jinping II hydropower station", Eng. Geol., 124, 98-108. https://doi.org/10.1016/j.enggeo.2011.10.007. DOI |
16 | Haeri, H., Marji, M.F. and Shahriar, K. (2014), "Simulating the effect of disc erosion in TBM disc cutters by a semi-infinite DDM", Arab. J. Geosci., 8(6), 3915-3927. https://doi.org/10.1007/s12517-014-1489-5. DOI |
17 | 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. https://doi.org/10.3997/1873-0604.2015017. DOI |
18 | Lee, K.H., Park, J.H., Park, J., Lee, I.M. and Lee, S.W. (2019), "Electrical resistivity tomography survey for prediction of anomaly in mechanized tunneling", Geomech. Eng., 19(1), 93-104. https://doi.org/10.12989/gae.2019.19.1.093. DOI |
19 | Tan, Q., Sun, X.J., Xia, Y.M., Cai, X.H., Zhu, Z.H. and Zhang, J.H. (2017), "A wear prediction model of disc cutter for TBM", J. Cent. South Univ., 48(1), 54-60. https://doi.org/10.11817/j.issn.1672-7207.2017.01.008. DOI |
20 | Li, S.C., Zhou, Z.Q., Ye, Z.H., Li, L.P., Zhang, Q.Q. and Xu, Z.H. (2015), "Comprehensive geophysical prediction and treatment measures of karst caves in deep buried tunnel", J. Appl. Geophys., 116, 247-257. https://doi.org/10.1016/j.jappgeo.2015.03.019. DOI |
21 | Li, T.Z. and Yang, X.L. (2018), "Risk assessment model for water and mud inrush in deep and long tunnels based on normal grey cloud clustering method", KSCE J. Civil Eng., 22(5), 1991-2001. https://doi.org/10.1007/s12205-017-0553-6. DOI |
22 | Fraldi, M., Cavuoto, R., Cutolo, A. and Guarracino, F. (2019), "Stability of tunnels according to depth and variability of rock mass parameters", Int. J. Rock Mech. Min., 119, 222-229. https://doi.org/ 10.1016/j.ijrmms.2019.05.001. DOI |
23 | Choi, H.H., Cho, H.N. and Seo, J.W. (2004), "Risk assessment methodology for underground construction projects", J. Constr. Eng. Manage., 130(2), 258-272. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:2(258). DOI |