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Geological detection of hard rocks by GPR and signal time-frequency characteristics analysis in urban underground trenchless construction

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成果类型:
期刊论文
作者:
Zhang, Liang;Zhang, Sheng;Deng, Zongwei;Ling, Tonghua
通讯作者:
Zhang, L
作者机构:
[Zhang, Liang; Zhang, Sheng; Deng, Zongwei; Zhang, L] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.
[Zhang, Liang; Zhang, Sheng; Zhang, L] Hunan Univ Technol, Hunan Engn Res Ctr Struct Safety & Disaster Preven, Yiyang 413000, Peoples R China.
[Ling, Tonghua] Changsha Univ Sci & Technol, Sch Civil Engn, Changsha 410114, Peoples R China.
通讯机构:
[Zhang, L ] H
Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.
Hunan Univ Technol, Hunan Engn Res Ctr Struct Safety & Disaster Preven, Yiyang 413000, Peoples R China.
语种:
英文
关键词:
Geological surveys;Geology;Ground penetrating radar systems;Lime;Risk assessment;Signal analysis;Signal detection;Spectrum analysis;Tunnels;Wavelet analysis;Boulde and hard rock environment;Detection signal;Energy spectrum;Ground Penetrating Radar;Hard rocks;Lower frequency components;Signal time;Time-frequency characteristics;Wavelet packet energies;Wavelet scale energy spectrum;Rocks
期刊:
Measurement Science And Technology
ISSN:
0957-0233
年:
2024
卷:
35
期:
4
页码:
045406
基金类别:
The work has been financially supported by the National Natural Science Foundation of China (No. 52308399), the Natural Science Foundation of Hunan Province in China (No. 2020JJ5588), the Research Foundation of Education Bureau of Hunan Province, China (Nos. 22A0562 and 23C0664), Hunan Provincial Department of Transportation Science and Technology Progress and Innovation Project (No. 202319), and the Open Fund of Key Laboratory of Urban Underground Engineering of Ministry of Education, Beijing Jiaotong University (TUC2022-02).
机构署名:
本校为第一且通讯机构
院系归属:
土木工程学院
摘要:
The hard rocks in the stratum can pose safety risks and hinder the progress of urban underground tunnel construction using shield and jacking methods, thereby reducing construction efficiency and increasing construction costs. This paper utilizes wavelet scale energy spectrum, wavelet packet theory and statistical methods to conduct research on the detection of special geological formations such as hard rocks and voids, as well as the analysis of their signal time-frequency characteristics based on the ground-penetrating radar (GPR) technique. ...

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