Extending the Q system's prediction of support in tunnels employing fuzzy logic and extra parameters

International Journal of Rock Mechanics and Mining Sciences

Volumn 43, Issue 6, 2006, Pages 938-949

  Tzamos, S ^a   Sofianos, A I ^b  

^a INSTITUTE OF GEOLOGY AND MINERAL EXPLORATION   (Greece)

^b NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Classification; Fuzzy logic; Q system; Rock mass; Tunnel support

Indexed keywords

FUZZY SETS; NUMERICAL ANALYSIS; ROCKS; STATISTICAL METHODS; STRENGTH OF MATERIALS;

FUZZY EXPERT SYSTEM; ROCK MASS CLASSIFICATION;

TUNNELS;

COMPUTER SIMULATION; FUZZY MATHEMATICS; Q SYSTEM; ROCK MASS CLASSIFICATION; SUPPORT; TUNNEL; UNDERGROUND CONSTRUCTION;

EID: 33744525118     PISSN: 13651609     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrmms.2006.02.002     Document Type: Article

References (16)

1. Bieniawski ZT. Engineering rock mass classification. Wiley: New York; 1989. p. 251.
2. Barton N.R., Lien R., and Lunde J. Engineering classification of rock masses for the design of tunnel upport. Rock Mech 6 4 (1974) 189-239
3. Barton N. Some new Q-value correlations to assist in site characterisation and tunnel design. Int J Rock Mech Min Sci 39 2 (2002) 185-216
4. Palmstorm A. Characterizing rock masses by the RMi for use in practical rock engineering, part 1: the development of the rock mass index (RMi). Tunnelling Underground Space Technol 11 2 (1996) 175-188
5. Palmstorm A. Characterizing rock masses by the RMi for use in practical rock engineering, part 2: some practical applications of the rock mass index (RMi) tunnelling underground. Tunnelling Underground Space Technol 11 3 (1996) 287-303
6. Jing L., and Hudson J.A. Numerical methods in rock mechanics. Int J Rock Mech Min Sci 39 4 (2002) 409-427
7. Hoek E, Kaiser PK, Bawden WF. Support of underground excavations in hard rock. Rotterdam: Balkema; 1995.
8. Cecil OS. Correlation of rock-bolt shotcrete and support and rock quality parameters in Scandinavian tunnels. PhD thesis, University of Illinois at Urbana-Champaign; 1970.
9. Grimstad E, Barton N. Updating of the Q-system for NMT. In: Kompen, Opshal Berg, editors. Proceedings of the international symposium on sprayed concrete-Modern use of wet- mix sprayed concrete for underground support. Fagernes, Oslo: Norwegian Concrete Association; 1993.
10. Alvarez Grima M., and Babuska R. Fuzzy model for the prediction of unconfined compressive strength of rock samples. Int J Rock Mech Min Sci 36 (1999) 339-349
11. Sugeno M. Fuzzy measures and fuzzy integrals: a survey. In: Gupta M.M., Saridis G.N., and Gaines B.R. (Eds). Fuzzy Automata and Decision Processes (1977), New York, North-Holland 89-102
12. Sugeno M. Industrial applications of fuzzy control (1985), Amsterdam, Elsevier
13. Alvarez Grima M., and Verhoef P. Forecasting trencher performance using fuzzy logic. Int J Rock Mech Min Sci 39 (1999) 413-432
14. Finol J., Guo Y., and Jing X. A rule based fuzzy model for the prediction of petrophysical rock parameters. J Petroleum Sci Eng 29 (2001) 97-113
15. Sonmez H., Gokceoglu C., and Ulusay R. An application of fuzzy sets to the Geological Strength Index (GSI) system used in rock engineering. Eng Appl Artif Intell 16 (2003) 251-269
16. Gokceoglu C. A fuzzy triangular chart to predict the uniaxial compressive strength of the Ankara agglomerates from their petrographic composition. Eng Geol 66 (2002) 39-51