Probabilistic estimation of the advancement rate of the Tunnel Boring Machines on the basis of rock mass characteristics

Author:

Oreste PierpaoloORCID,Spagnoli GiovanniORCID

Publisher

Springer Science and Business Media LLC

Subject

Economic Geology,General Energy,Geophysics,Geotechnical Engineering and Engineering Geology

Reference59 articles.

1. Alber M (1996) Prediction of penetration, utilization for hard rock TBMs. In: Proceedings of the international conference of Eurock ’96. Balkema, Rotterdam, pp 721–725

2. Altindag R (2010) Assessment of some brittleness indexes in rock drilling efficiency. Rock Mech Rock Eng 43:361–370

3. Barton N (1999) TBM performance estimation in rock using Q (TBM). Tunn Tunn Int 31(9):30–34

4. Barton N (2000) TBM tunnelling in jointed and faulted rock. Balkema, Rotterdam

5. Bellopede R, Brusco F, Oreste P, Pepino M (2011) Main aspects of tunnel muck recycling. Am J Environ Sci 7(4):338–347

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1. Tunnel Geohazard Evaluation Using Improved Seismic Time-Reversal Mirror;Journal of Environmental and Engineering Geophysics;2023-09

2. Analysis of rock cuttability based on excavation parameters of TBM;Geomechanics and Geophysics for Geo-Energy and Geo-Resources;2023-07-10

3. Modeling Microtunnel Boring Machine Penetration Rate Using a Mechanistic Approach;Journal of Construction Engineering and Management;2022-11

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