[1]
Yasunori K., Akihiko I., and Koki K. The start of a new generation of TBMs, Tunnelling and Underground Space Technology (2006), 21, 259.
DOI: 10.1016/j.tust.2005.12.120
Google Scholar
[2]
Shang Y.J., Xue J.H. and Wang S.J. A case history of Tunnel Boring Machine jamming in an inter-layer shear zone at the Yellow River Diversion Project in China, Engineering Geology (2004), 71, 199-211.
DOI: 10.1016/s0013-7952(03)00134-0
Google Scholar
[3]
Takuji Y., Suguru S. and Shinya Y. Evaluation of the geological condition ahead of the tunnel face by geostatistical techniques using TBM driving data, Tunnelling and Underground Space Technology(2003), 18, 213-221.
DOI: 10.1016/s0886-7798(03)00030-0
Google Scholar
[4]
Sapigni, M., Berti, M. and Bethaz, E., et al. TBM performance estimation using rock mass classifications, International Journal of Rock Mechanics and Mining Sciences(2002), 39, 771-788.
DOI: 10.1016/s1365-1609(02)00069-2
Google Scholar
[5]
Shen L. S. Project Risk Management in Hong Kong, International Journal of Project Management (1997), 15(2), 101-105.
DOI: 10.1016/s0263-7863(96)00045-2
Google Scholar
[6]
Ebrahim F., Ali M. and Gholamreza S. Evaluation of ground convergence and squeezing potential in the TBM driven Ghomround tunnel project, Tunnelling and Underground Space Technology(2006), 21, 504-510.
DOI: 10.1016/j.tust.2005.09.003
Google Scholar
[7]
Benardos A.G. and Kaliampakos D.C. Modeling TBM performance with artificial neural networks, Tunnelling and Underground Space Technology(2004), 19, 597-605.
DOI: 10.1016/j.tust.2004.02.128
Google Scholar
[8]
Shin J.H., Lee I.K. and Lee Y.H. et al. Lessons from serial tunnel collapses during construction of the Seoul subway Line 5, Tunnelling and Underground Space Technology(2006), 21, 296-297.
DOI: 10.1016/j.tust.2005.12.154
Google Scholar
[9]
AL-Bahar J.F. Systematic Risk Management Approach for Construction Projects, Journal of Construction Engineering and Management(1990), 116(3), 533-546.
DOI: 10.1061/(asce)0733-9364(1990)116:3(533)
Google Scholar
[10]
Raz T and Michael E. Use and Benefits of Tools for Project Risk Management, Project Management(2001), 19, 9-17.
DOI: 10.1016/s0263-7863(99)00036-8
Google Scholar
[11]
Eskesen S.D., Tengborg P. and Kampmann J., et al. Guidelines for Tunneling Risk Management: International Tunneling Association, Working Group No. 2, Tunnelling and Underground Space Technology(2004), 19, 217-237.
DOI: 10.1016/j.tust.2004.01.001
Google Scholar
[12]
Choi H.H., Cho H.N. and Seo J.W. Risk Assessment Methodology for Underground Construction Projects, Journal of Construction Engineering and Management(2004), 130(2), 258-272.
DOI: 10.1061/(asce)0733-9364(2004)130:2(258)
Google Scholar
[13]
Kim C.Y., Bae G.J. and Hong S.W., et al. Neural network based prediction of ground surface settlements due to tunneling, Computers and Geotechnics (2001), 28, 517-547.
DOI: 10.1016/s0266-352x(01)00011-8
Google Scholar