Study of various models for estimation of penetration rate of hard rock TBMs

Author:

Farrokh Ebrahim,Rostami Jamal,Laughton Chris

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference55 articles.

1. Advance rates of hard rock TBMs and their effects on projects economics;Alber;Tunnell. Undergr. Space Technol.,2000

2. Fuzzy model for the prediction of unconfined compressive strength of rock samples;Alvarez Grima;Int. J. Rock Mech. Min. Sci,1999

3. Neuro-Fuzzy Modeling in Engineering Geology: Applications to Mechanical Rock Excavation, Rock Strength Estimation and Geological Mapping;Alvarez Grima,2000

4. Modeling tunnel boring machine performance by neuro-fuzzy methods;Alvarez Grima;Tunnell. Undergr. Space Technol.,2000

5. Bamford, W.F., 1984. Rock test indices are being successfully correlated with tunnel boring machine performance. In: Proceedings of the 5th Australian Tunneling Conference, Melbourne, vol. 2, 1984, pp. 9–22.

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