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research article

Probabilistic simulations of TBM Tunnelling in highly fractured and faulted rocks

Paltrinieri, Erika  
•
Sandrone, Federica  
•
Dudt, Jean-Paul  
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2016
Tunnelling and Underground Space Technology

Despite the potential excellent performance of TBMs in favourable ground conditions, the presence of fault zones or heavily jointed rocks represent important geological hazards encountered during tunnel excavation. The effects of these challenging environments on the final tunnel construction time and costs can be investigated through a specific computer code: the Decisions Aid for Tunnelling (DAT). In this framework the DAT simulates the tunnel excavation in several geological profiles, where changing ground scenarios are described in terms of different “fault zone” classes (from highly fractured rocks, to faulted and crushed material). For each class a certain reduction of the TBM advance rate is specified based on real data analyses. Although the great uncertainty, the results give a reliable estimation of the effect of degrading rock mass conditions on the tunnelling performance. Finally, a real case-study has been simulated by DAT in order to validate the use of the “fault zone” classes (and the relative advance rate reductions) in the estimation of the final time of tunnel construction. The predicted time values prove to be very close to the ones recorded on the field, confirming the importance of a more detailed and comprehensive characterisation of difficult ground conditions such as fault and highly fractured zones.

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Type
research article
DOI
10.1016/j.tust.2016.02.002
Web of Science ID

WOS:000378184100021

Author(s)
Paltrinieri, Erika  
•
Sandrone, Federica  
•
Dudt, Jean-Paul  
•
Zhao, Jian  
Date Issued

2016

Publisher

Elsevier

Published in
Tunnelling and Underground Space Technology
Volume

57

Start page

183

End page

194

Subjects

Decision Aids for Tunnelling (DAT)

•

TBM-performance database

•

Fault zone classification

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LEMR  
LMR  
Available on Infoscience
November 30, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/120866
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