Evaluating D&B and TBM tunnelling using NTNU prediction models-Reference-Cited by-同舟云学术

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Evaluating D&B and TBM tunnelling using NTNU prediction models

Published:2016-10 Issue: Volume:59 Page:55-64
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Zare S.,Bruland A.,Rostami J.

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference33 articles.

1. TBM Tunnelling in Jointed and Faulted Rock;Barton,2000

2. Reducing risk in long deep tunnels by using TBM and Drill and Blast methods in the same project - the hybrid solution;Barton;J. Rock Mech. Geotech. Eng.,2012

3. Hybrid TBM and Drill-and-Blast from the start;Barton;Tunnell. J.,2013

4. Prediction model for performance and costs;Bruland,1998

5. Future demands and development trends;Bruland,1998

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1. Multi-step real-time prediction of hard-rock TBM penetration rate combining temporal convolutional network and squeeze-and-excitation block;Scientific Reports;2024-06-21

2. Evolution and future prospects of hydropower sector in Nepal: A review;Heliyon;2024-05

3. Carbon Footprint Evaluation in Tunnels Excavated in Rock Using Tunnel Boring Machine (TBM);International Journal of Civil Engineering;2024-01-30

4. Numerical Study on Evolution Mechanism of Cut Blasting and Cavity Formation Under Confining Pressure;Rock Mechanics and Rock Engineering;2023-08-28

5. Rock fragmentation indexes reflecting rock mass quality based on real-time data of TBM tunnelling;Scientific Reports;2023-06-27

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