Detection of Geological Structural Anomalies Using Slot Wave Tomography Technology
DOI: 10.23977/jceup.2025.070102 | Downloads: 18 | Views: 588
Author(s)
Yi Han 1, Guojun Liu 2
Affiliation(s)
1 Beijing Earthquake Agency, Beijing, 100080, China
2 Shanxi Earthquake Agency, Taiyuan, 030021, China
Corresponding Author
Yi HanABSTRACT
The unfavorable geological structures on the excavation surface of the mine include water bodies, collapses, fractures, etc. These hidden and extremely small geological anomalies are difficult to find in the macroscopic exploration of mines. Therefore, during the construction process of the mine roadway, it is necessary to conduct advanced detection and treatment of the mine roadway. Most mining accidents occur during the construction process of shafts and tunnels. After research, it is found that advanced testing processes are often overlooked due to time constraints. In addition, current advanced testing methods are very complex and have a high false alarm rate and negative alarm rate. Therefore, it is of great significance to find an efficient and suitable advanced detection technology for mine tunnels, to accurately and timely predict the adverse geological structures in front of the tunnels, in order to improve excavation efficiency. This article was based on this, exploring how to detect geological structural anomalies using slot wave tomography technology, and verifying the feasibility of the technology through experiments. The experimental results showed that the resolution of the slot wave tomography imaging technology for geological anomalies numbered DZ1 was about 0.5mm, which was higher than electromagnetic, radar, seismic, gravity, and magnetic methods, respectively.
KEYWORDS
Geological Anomaly Bodies; Tomographic Imaging Technology; Slot Wave Seismic Exploration; Energy Attenuation CoefficientCITE THIS PAPER
Yi Han, Guojun Liu, Detection of Geological Structural Anomalies Using Slot Wave Tomography Technology. Journal of Civil Engineering and Urban Planning (2025) Vol. 7: 8-16. DOI: http://dx.doi.org/10.23977/jceup.2025.070102.
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