Fuzzy modeling approaches for the prediction of machine utilization in hard rock tunnel boring machines

Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)

Volumn 2, Issue , 2006, Pages 947-954

  Simões, Marcelo G ^a   Kim, Taehong ^b  

^a Department of Geology and Geological Engineering

^b PARSONS BRINCKERHOFF   (United States)

Author keywords

Fuzzy; Mining; Rock; Tunnel

Indexed keywords

FUZZY LOGIC; FUZZY SYSTEMS; LOGIC PROGRAMMING; MATHEMATICAL MODELS; OPTIMIZATION; RESOURCE ALLOCATION; TUNNELS;

FUZZY MODELING; HARD ROCK TUNNEL BORING MACHINES;

EARTH BORING MACHINES;

EID: 34948863836     PISSN: 01972618     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IAS.2006.256639     Document Type: Conference Paper

References (7)

1. P.P. Nelson, C. Laughton, and Y.Q. Abd Al-Jalil. 1995. The probabilistic prediction of tunnel boring machine in practice. NSF Workshop, ASCE Press.
2. D.F. Howarth, 1994. Database of TBM projects undertaken between 1950 and 1990 and an assessment of associated ground strength limitation. Underground Space Technology 9:2:209-213
3. G.W. Stevenson, 1999. Empirical estimates of TBM performance in hard rock. 1999 RETC Proceedings, Chapter 56.
4. N. Barton, 2001. Are long TBM tunnels faster by TBM?. 2001 RETC Proceedings, Chapter 66.
5. P.P. Nelson, TBM performance analysis with reference to rock properties. Comprehensive Rock Engineering, Chapter 10, Page 262-288.
6. M.A. Grima, 2000. Neuro-fuzzy modeling in engineering geology, Balkema.
7. B. Nilson and L. Ozdemir, 1999. Hard rock tunnel boring machine prediction and field performance. 1999 RETC proceedings, Chapter 52.