Face stability analysis of mechanized shield tunneling: An objective systems approach to the problem-Reference-Cited by-同舟云学术

Face stability analysis of mechanized shield tunneling: An objective systems approach to the problem

Published:2019-11 Issue: Volume:262 Page:105307
ISSN:0013-7952
Container-title:Engineering Geology
language:en
Short-container-title:Engineering Geology

Author:

Zare Naghadehi Masoud,Thewes Markus^ORCID,Alimardani Lavasan Arash

Funder

German Research Foundation

Publisher

Elsevier BV

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference77 articles.

1. Evaluation of tunnel face stability by transparent soil models;Ahmed;Tunn. Undergr. Space Technol.,2012

2. Face stability conditions with earth-pressure balanced shields;Anagnostou;Tunn. Undergr. Space Technol.,1996

3. The face stability of slurry-shield driven tunnels;Anagnostou;Tunn. Undergr. Space Technol.,1994

4. The Rock Engineering System (RES) applied to landslide susceptibility zonation of the northeastern flank of Etna: methodological approach and results;Apuani;Geophysical Research Abstracts,2015

5. Stability of a shallow circular tunnel in cohesionless soil;Atkinson;Geotechnique,1977

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