Seismic Imaging from a TBM |
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| Authors: | G Swinnen J W Thorbecke G G Drijkoningen |
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| Institution: | (1) Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, The Netherlands |
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| Abstract: | Summary Seismic monitoring from the head of a tunnel-boring machine (TBM) enables improved assessment of the risks associated with
the tunnel-boring process. The monitoring system provides a live image of ground conditions along the trajectory followed
by the TBM and detects local heterogeneities such as boulders, foundations, and other obstacles that commonly pass undetected
using local geotechnical techniques. From a seismic perspective, the underground setting of tunnelling projects places limitations
on imaging capability. The principal limiting factor is the size of the area upon which transducers can be installed. This
limitation requires adjustments to traditional seismic imaging techniques in which a large area is assumed to be available
for attaching the transducers. Recently developed short imaging operators take this limitation into account and are used in
the examples described herein. The unique conditions of tunnelling yield two advantages over traditional settings in terms
of imaging: rotation of the cutter wheel and the lateral progression of the TBM. Rotation of the cutter wheel, upon which
the transducers are installed, provides the opportunity to illuminate obstacles from different angles in different recordings.
Spatial progression of the TBM enables improvement in the illumination of obstacles and the signal-to-noise ratio by combining
recordings from different lateral positions. In this paper, these specific aspects of seismic imaging during tunnelling are
discussed via models that represent different cases encountered in actual tunnelling projects. These case studies demonstrate
the way in which image quality along the trajectory of the TBM is improved over that in traditional settings. In this way,
the risks associated with the tunnelling process can be more accurately assured. |
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| Keywords: | : Monitoring wavefield extrapolation imaging tunneling prediction of ground conditions |
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