Recognition of Tunnel Fracture Zones in Seismic Waves and Ground-Penetrating Radar Data
Fracture zones in front of tunnel faces can easily cause falling blocks and landslides during the construction process. Using seismic waves and ground-penetrating radar (GPR) data, we extracted the features of fracture zones and achieved the advanced prediction of tunnel fracture zones. The energy v...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/3/1282 |
| _version_ | 1797319035923202048 |
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| author | Chuan Li Haichun Wang Yunsheng Wang Lulu Wang Xi Yang Xiaorong Wan |
| author_facet | Chuan Li Haichun Wang Yunsheng Wang Lulu Wang Xi Yang Xiaorong Wan |
| author_sort | Chuan Li |
| collection | DOAJ |
| description | Fracture zones in front of tunnel faces can easily cause falling blocks and landslides during the construction process. Using seismic waves and ground-penetrating radar (GPR) data, we extracted the features of fracture zones and achieved the advanced prediction of tunnel fracture zones. The energy variation in the reflected waves propagated by seismic waves at interfaces with different impedances of contact waves was found to manifest as positive and negative reflections, and the amplitude of reflected signals within the fracture zone areas thus increased. We designed a superimposed velocity spectrum, divided the areas of variation in wave velocity, and constructed the three-dimensional spatial distribution of the tunnel fracture zones. Based on the phase change, increase in amplitude, and increase in the center-frequency characteristics of the one-dimensional time waveform of the electromagnetic waves in the fault zone area (A-scan), we located the characteristic points of the fracture zones and observed the occurrence of in-phase axis misalignment in two-dimensional scanning (B-scan). We then implemented the identification of fracture zones. This method predicted the fractured area in the rock surrounding the Liangwangshan Tunnel, and during the tunnel excavation, the fracture zones appeared in the recognition area. |
| first_indexed | 2024-03-08T04:00:56Z |
| format | Article |
| id | doaj.art-c8aff4e356e340c494370a3e2420222b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-08T04:00:56Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj.art-c8aff4e356e340c494370a3e2420222b2024-02-09T15:08:29ZengMDPI AGApplied Sciences2076-34172024-02-01143128210.3390/app14031282Recognition of Tunnel Fracture Zones in Seismic Waves and Ground-Penetrating Radar DataChuan Li0Haichun Wang1Yunsheng Wang2Lulu Wang3Xi Yang4Xiaorong Wan5Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, ChinaFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, ChinaYunnan Aerospace Engineering Geophysical Detecting Co., Ltd., Kunming 650200, ChinaFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, ChinaYunnan Aerospace Engineering Geophysical Detecting Co., Ltd., Kunming 650200, ChinaFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, ChinaFracture zones in front of tunnel faces can easily cause falling blocks and landslides during the construction process. Using seismic waves and ground-penetrating radar (GPR) data, we extracted the features of fracture zones and achieved the advanced prediction of tunnel fracture zones. The energy variation in the reflected waves propagated by seismic waves at interfaces with different impedances of contact waves was found to manifest as positive and negative reflections, and the amplitude of reflected signals within the fracture zone areas thus increased. We designed a superimposed velocity spectrum, divided the areas of variation in wave velocity, and constructed the three-dimensional spatial distribution of the tunnel fracture zones. Based on the phase change, increase in amplitude, and increase in the center-frequency characteristics of the one-dimensional time waveform of the electromagnetic waves in the fault zone area (A-scan), we located the characteristic points of the fracture zones and observed the occurrence of in-phase axis misalignment in two-dimensional scanning (B-scan). We then implemented the identification of fracture zones. This method predicted the fractured area in the rock surrounding the Liangwangshan Tunnel, and during the tunnel excavation, the fracture zones appeared in the recognition area.https://www.mdpi.com/2076-3417/14/3/1282fracture zonesrecognitiontunnelseismic wavesground-penetrating radar |
| spellingShingle | Chuan Li Haichun Wang Yunsheng Wang Lulu Wang Xi Yang Xiaorong Wan Recognition of Tunnel Fracture Zones in Seismic Waves and Ground-Penetrating Radar Data Applied Sciences fracture zones recognition tunnel seismic waves ground-penetrating radar |
| title | Recognition of Tunnel Fracture Zones in Seismic Waves and Ground-Penetrating Radar Data |
| title_full | Recognition of Tunnel Fracture Zones in Seismic Waves and Ground-Penetrating Radar Data |
| title_fullStr | Recognition of Tunnel Fracture Zones in Seismic Waves and Ground-Penetrating Radar Data |
| title_full_unstemmed | Recognition of Tunnel Fracture Zones in Seismic Waves and Ground-Penetrating Radar Data |
| title_short | Recognition of Tunnel Fracture Zones in Seismic Waves and Ground-Penetrating Radar Data |
| title_sort | recognition of tunnel fracture zones in seismic waves and ground penetrating radar data |
| topic | fracture zones recognition tunnel seismic waves ground-penetrating radar |
| url | https://www.mdpi.com/2076-3417/14/3/1282 |
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