In:
BHM Berg- und Hüttenmännische Monatshefte, Springer Science and Business Media LLC, Vol. 167, No. 12 ( 2022-12), p. 562-565
Abstract:
During tunnel excavation, injections are often used to seal or consolidate the ground because they can be integrated into the typical tunnelling workflow with conventional equipment technology. This rock mass support and sealing method is flexible, and can be continuously adjusted by adapting the drilling geometry as well as the injection, for example the grouting material, volume, and stopping criteria. This flexibility also presents challenges and opportunity for optimization. The AVANT project aims to provide options for optimization based on the development of geological ground models ahead of the tunnel face combined with artificial intelligence analysis of grouting data. We present a method for processing monitoring-while-drilling (MWD) data that uses variations in the rate of penetration, feed pressure, damping pressure, and torque to highlight locations along the drill hole that affect these parameters simultaneously, termed “events”. We then show how the processed MWD signals can be colour-coded and plotted in three dimensions to identify locations around the tunnel perimeter that exhibit events in a geometrical orientation that supports the presence of a potential geological structure. We finally show how these potential geological structures can be verified using geological maps and photos. Finally, we propose that this method of data analysis can be used to generate ground models ahead of the face and linked to the grouting decision making on-site.
Type of Medium:
Online Resource
ISSN:
0005-8912
,
1613-7531
DOI:
10.1007/s00501-022-01300-9
Language:
German
Publisher:
Springer Science and Business Media LLC
Publication Date:
2022
detail.hit.zdb_id:
2376950-6
SSG:
19,1
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