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An Early-Warning System to Validate the Soil Profile during TBM Tunnelling

Authors :
Glenda Abate
Sebastiano Corsico
Salvatore Grasso
Maria Rossella Massimino
Source :
Geosciences, Vol 12, Iss 3, p 113 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Identification of soil condition at the working face of a tunnel boring machine (TBM) is a key factor for the efficiency and safety of TBM tunneling. The paper presents the first application of the Horizontal-to-Vertical Spectral Ratio (HVSR) method on microtremors induced by a TBM during tunnelling. The innovative application is based on the development of an easy-to-use and economical early-warning system, which aims to confirm, or otherwise, the soil profile established in the design phase of tunnels by comparing the soil natural frequencies obtained from the soil profile carried out during the design phase and the soil natural frequencies coming from the HVSR analysis of the microtremors induced by the TBM during tunnelling. Just one or two geophones are necessary to use the proposed procedure. It can be applied to an area up to about 20 m ahead of the TBM excavation front and constitutes a powerful early warning system. Due to the great heterogeneity of the subsoil, dual-mode TBMs are often used, frequently changing from Open-Face (OF) mode for rock formations to Earth Pressure Balance (EPB) mode for cohesive and incoherent soil. Any “additional” information on the soil, which will be dug in the next days or hours is extremely useful for subsoil with great heterogeneity. The new procedure offers a reasonable time interval in which to modify the excavation method. This, in turn, can avoid damage to the TBM and existing structures and infrastructures. It allows us also to have a valuable geotechnical database for future works on the infrastructural networks. The proposed procedure has been successfully applied during the construction of the new underground lines in Catania (Italy).

Details

Language :
English
ISSN :
20763263
Volume :
12
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Geosciences
Publication Type :
Academic Journal
Accession number :
edsdoj.71d692cdfa64aab89a64ce91e53eb10
Document Type :
article
Full Text :
https://doi.org/10.3390/geosciences12030113