Specific variability of features of recorded signals in georadar detection of voids at rock–lining interface

Spotlight is on detection of voids at the rock–lining interface in metro tunnels by features identified in processing of georadar profiles. The georadar and seismic surveys in the Moscow metro tunnels revealed high variance in the ability of features to point at an anomaly, and disclosed numerous cases of false triggering. The variability arose in transition between test subjects but was weak within the limits of the same subject. For this reason, it is proposed to set a void detection system with respect to some references (confirmed using other methods) and to use this system further for the whole test subject. The number of the false triggering and missed target events is suggested to minimize by using sets of features. Such system may operate in an advisory mode to reduce interpreter’s errors when processing bulks of data. A series of estimates is proposed to select features to be integrated in a check set. The article offers estimation of intensity of an anomaly distinguished by selected features; reliability of distinguishing between the void and no void situations using parameters of ROC-curves; independence of features using linear correlation factors. Behavior of the features is analyzed using in-situ data. It is found that the moduli of correlation factors of the features in the radarogram areas with and without a void, |RР| and |RN|, respectively, form well-splitting clusters, which enables decision-making on independence of the features. Parameters of the clusters are stable between the test subjects, and, therefore, it is possible to use the discriminant curve equation to integrate features in a set.

Keywords: lining, tunnel, void, georadar detection, noise, features, complexing, selection criteria.
For citation:

Nabatov V. V., Utkina A. V. Specific variability of features of recorded signals in georadar detection of voids at rock–lining interface. MIAB. Mining Inf. Anal. Bull. 2023;(7):52–63. [In Russ]. DOI: 10.25018/0236_1493_2023_7_0_52.

Acknowledgements:
Issue number: 7
Year: 2023
Page number: 52-63
ISBN: 0236-1493
UDK: 550.8:528.854:[624.19:625.42]
DOI: 10.25018/0236_1493_2023_7_0_52
Article receipt date: 05.04.2023
Date of review receipt: 11.05.2023
Date of the editorial board′s decision on the article′s publishing: 10.06.2023
About authors:

V.V. Nabatov1, Cand. Sci. (Eng.), Assistant Professor, e-mail: nv4@mail.ru, ORCID ID: 0000-0002-0047-0462,
A.V. Utkina1, Graduate Student,
1 National University of Science and Technology «MISiS», 119049, Moscow, Russia.

 

For contacts:

V.V. Nabatov, e-mail: nv4@mail.ru.

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