Detection of karst caves during tunnel construction using ground‐penetrating radar and advanced drilling: A case study in Guangxi Province, China-Reference-Cited by-同舟云学术

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Detection of karst caves during tunnel construction using ground‐penetrating radar and advanced drilling: A case study in Guangxi Province, China

Published:2022-05-05 Issue:3 Volume:20 Page:265-278
ISSN:1569-4445
Container-title:Near Surface Geophysics
language:en
Short-container-title:Near Surface Geophysics

Author:

Lan Riyan¹,Liu Zonghui¹²³,Liu Maomao²,Guan Qiyu²,Yan Yuanfang¹,Sun Huaifeng³,Zhou Dong²

Affiliation:

1. Guangxi Xinfazhan Communications Group Co., Ltd. Nanning 530028 China

2. School of Civil Engineering and Architecture Guangxi University Nanning 530004 China

3. Geotechnical and Structural Engineering Research Center Shandong University Jinan 250061 China

Publisher

Wiley

Subject

Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nsg.12207

Reference45 articles.

1. Prediction of geological hazardous zones in front of a tunnel face using TSP-203 and artificial neural networks

2. Attribute-based analysis of time-lapse ground-penetrating radar data

3. Karst Hazards

4. Reverse-time prestack depth migration of GPR data from topography for amplitude reconstruction in complex environments

5. Reverse-Time Migration from Rugged Topography to Image Ground-Penetrating Radar Data in Complex Environments

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancements in digital twin modeling for underground spaces and lightweight geometric modeling technologies;Automation in Construction;2024-09

2. Detection of Beaded Karst Caves in Subway Works by Mixed-Source Surface Wave Survey: A Case Study;Lithosphere;2024-08-27

3. Research on remote reference denoising method based on non-coaxial and non-coplanar tunnel NMR detection;Measurement Science and Technology;2024-07-31

4. Testing method of rock structural plane using digital drilling;Journal of Rock Mechanics and Geotechnical Engineering;2024-07

5. A deep learning-based algorithm for intelligent prediction of adverse geologic bodies in tunnels;Measurement Science and Technology;2024-06-14

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