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Time-Frequency Analysis of GPR Simulation Signals for Tunnel Cavern Fillings Based on Short-Time Fourier Transform

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成果类型:
会议论文
作者:
Zhang, Sheng*;He, Wenchao;Cao, Feng;Hong, Liang
通讯作者:
Zhang, Sheng
作者机构:
[Hong, Liang; Zhang, Sheng] Hunan City Univ, Sch Civil Engn, Yiyang, Peoples R China.
[Hong, Liang; Zhang, Sheng] Univ Houston, Dept Mech Engn, Houston, TX 77004 USA.
[He, Wenchao] Changsha Univ Sci & Technol, Sch Civil Engn, Changsha, Peoples R China.
[Cao, Feng] Hunan Prov Commun Planning Survey & Design Inst C, Changsha, Peoples R China.
通讯机构:
[Zhang, Sheng] H
[Zhang, Sheng] U
Hunan City Univ, Sch Civil Engn, Yiyang, Peoples R China.
Univ Houston, Dept Mech Engn, Houston, TX 77004 USA.
语种:
英文
关键词:
tunnel engineering;cavern fillings;ground penetrating radar;short-time Fourier transform;forward simulation
期刊:
EARTH AND SPACE 2021: MATERIALS, STRUCTURES, DYNAMICS, AND CONTROL IN EXTREME ENVIRONMENTS
年:
2021
页码:
572-581
会议名称:
17th Biennial International Conference on Engineering, Science, Construction, and Operations in Challenging Environments (Earth and Space)
会议时间:
APR 19-23, 2021
会议地点:
ELECTR NETWORK
会议主办单位:
[Zhang, Sheng;Hong, Liang] Hunan City Univ, Sch Civil Engn, Yiyang, Peoples R China.^[Zhang, Sheng;Hong, Liang] Univ Houston, Dept Mech Engn, Houston, TX 77004 USA.^[He, Wenchao] Changsha Univ Sci & Technol, Sch Civil Engn, Changsha, Peoples R China.^[Cao, Feng] Hunan Prov Commun Planning Survey & Design Inst C, Changsha, Peoples R China.
会议赞助商:
Amer Soc Civil Engineers, Aerosp Div, Amer Soc Civil Engineers
主编:
VanSusante, PJ Roberts, AD
出版地:
UNITED ENGINEERING CENTER, 345 E 47TH ST, NEW YORK, NY 10017-2398 USA
出版者:
AMER SOC CIVIL ENGINEERS
ISBN:
978-0-7844-8338-1
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51608183]; China Scholarship CouncilChina Scholarship Council [201808430341]; Natural Science Foundation of Hunan Province in ChinaNatural Science Foundation of Hunan Province [2018JJ3022]
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 most important factor in restricting safe and efficient is the unfavorable geological conditions ahead of the tunnel face during tunnel construction in karst area. To avoid the occurrence of geological disasters, advanced geological forecast technology is widely used to detect the development of unfavorable geological bodies. In order to better explain the time-frequency characteristics of GPR signals of tunnel cavern fillings, the Gaussian window function is selected according to the uncertainty principle, and the short-time Fourier transform is used to analyze and process the GPR signals...

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