滇中引水隧洞工程典型致灾地质体雷达波场与时–频特性分析与应用

doi:10.13722/j.cnki.jrme.2023.0362

Abstract
Figure/Table
References (0)
Related Citation (15)

Download: PDF (1813 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract The complexity and variety of disaster-causing geologic bodies in the tunnel of the Central Yunnan Water Diversion Project greatly increase the difficulty of interpreting the results of advanced detection. For this reason，based on the distribution characteristics and electrical parameters of the disaster-causing geological bodies，this paper establishes the theoretical models of three typical disaster-causing geological bodies，namely，caves filled with different media，water bodies，and soft-rocks，and then carries out the numerical simulation of the ground penetrating radar wave field and the research of time-frequency characteristics by adopting time-domain finite-difference forward modeling and the generalized S-transform improved based on S-transform. The ground-penetrating-radar wave-field is characterized by the following：arc-shaped reflection at the top interface of the karst cave，and the amplitude energy of water-filled karst cave is stronger than the air-filled karst cave；in the area of the water-bearing，there are several horizontal strong amplitude reflection events；in the area of the soft-rock，there are horizontal strong amplitude reflections on the interface of the soft-rock top and bottom；and the reflected waves from the top interfaces of water-filled caves，water-bearing bodies，and soft-rocks will have the phenomenon of phase reversal. The time-frequency characteristics of the ground penetrating radar signal are as follows：when the signal passes through the areas of the karst caves and water-bearing，its central frequency is concentrated in a low-frequency range；When the signal passes through the area of the soft-rocks，its central frequency distribution is more dispersed，and it is distributed in both high-frequency and low-frequency range. Based on four successful detection cases of the Central Yunnan Water Diversion Project，the wave-field，time-frequency distribution，single-trace signal，and power spectrum attenuation characteristics of ground penetrating radar real signals are consistent with their corresponding numerical simulation results，which confirms the reliability of numerical simulation results. The results of the study provide a scientific basis for the detection，feature identification，and prevention of typical disaster-causing geological bodies in tunnels，which is of great theoretical significance and engineering application value.

Key words： tunnel engineering tunnel advance forecast ground penetrating radar typical geological bodies causing disasters numerical simulation time-frequency analysis；power spectrum attenuation

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHOU Liming
	ZHANG Yang
	FU Daiguang
	XIA Bo

Cite this article:

ZHOU Liming,ZHANG Yang,FU Daiguang, et al. Application and analysis of wave-field and time-frequency characteristics of typical disaster-causing geological bodies detected by ground penetrating #br# radar in the tunnel of Central Yunnan Water Diversion Project[J]. , 2024, 43(S2): 3668-3680.

URL:

https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2023.0362 OR https://rockmech.whrsm.ac.cn/EN/Y2024/V43/IS2/3668

[1]	温时雨，肖洋，秦云，等. 滇中长大引水隧洞典型致灾地质构造分析[J]. 现代隧道技术，2022，59(增1)：719-726.(WEN Shiyu，XIAO Yang，QIN Yun，et al. Analysis of typical disaster-causing geological structures in long and large tunnel of Central Yunnan Water Diversion Project[J]. Modern Tunnelling Technology，2022，59(Supp.1)：719-726.(in Chinese))
[2]	杨再涛，何红军，李占彪，等. 方钢混凝土拱架在软岩大变形斜井中的支护技术[J]. 云南水力发电，2023，39(2)：145-148.(YANG Zaitao，HE Hongjun，LI Zhanbiao，et al. Support technology of square steel concrete arch of large deformation inclined shaft in soft rock[J]. Yunnan Water Power，2023，39(2)：145-148.(in Chinese))
[3]	王彪. 滇中引水二期工程大理受水区岩溶发育特征及隧洞工程涌突水综合评价研究[硕士学位论文][D]. 成都：西华大学，2022.(WANG Biao. Study on karst development characteristics and comprehensive evaluation of water inrush of tunnel engineering in Dali water receiving area of phase II water diversion project in central Yunnan[M. S. Thesis][D]. Chengdu：Xihua University，2022.(in Chinese))
[4]	李术才，李树忱，张庆松，等. 岩溶裂隙水与不良地质情况超前预报研究[J]. 岩石力学与工程学报，2007，26(2)：217-225.(LI Shucai，LI Shuchen，ZHANG Qingsong，et al. Forecast of karst-fractured groundwater and defective geological conditions[J]. Chinese Journal of Rock Mechanics and Engineering，2007，26(2)：217-225.(in Chinese))
[5]	岳全贵，张杨，肖国强，等. 探地雷达的常见干扰和不良地质体的超前预报在隧道工程中的应用[J]. 长江科学院院报，2017，34(8)：36-40.(YUE Quangui，ZHANG Yang，XIAO Guoqiang，et al. Common interferences of Ground Penetrating Radar and advanced prediction of bad geological bodies in tunnel engineering[J]. Journal of Yangtze River Scientific Research Institute，2017，34(8)：36-40.(in Chinese))
[6]	唐申强. 探地雷达瞬时属性分析技术在岩溶涌水通道探测中的应用[J]. 工程地球物理学报，2022，19(1)：1-5.(TANG Shenqiang. Application of GPR instantaneous attribute analysis technology in karst water inrush channel detection[J]. Chinese Journal of Engineering Geophysics，2022，19(1)：1-5.(in Chinese))
[7]	凌同华，张胜，李升冉. 地质雷达隧道超前地质预报检测信号的HHT分析法[J]. 岩石力学与工程学报，2012，31(7)：1 422-1 428. (LING Tonghua，ZHANG Sheng，LI Shengran. Hilbert-Huang transform method for detection signal of tunnel geological prediction using Ground Penetrating Radar[J]. Chinese Journal of Rock Mechanics and Engineering，2012，31(7)：1 422-1 428.(in Chinese))
[8]	余志雄，薛桂玉，周创兵. 复信号分析技术及其在地质雷达数字处理中的应用[J]. 岩石力学与工程学报，2005，24(5)：798-802.(YU Zhixiong，XUE Guiyu，ZHOU Chuangbing. Application of complex signal analysis to process ground penetrating radar data[J]. Chinese Journal of Rock Mechanics and Engineering，2005，24(5)：798-802. (in Chinese))
[9]	张胜，何文超，黎永索，等. 基于小波变换时能密度法的隧道空洞充填物识别[J]. 煤炭学报，2019，44(11)：3 504-3 514.(ZHANG Sheng，HE Wenchao，LI Yongsuo，et al. Identification of tunnel cavity fillings by time-energy density analysis based on wavelet transform[J]. Journal of China Coal Society，2019，44(11)：3 504-3 514.(in Chinese))
[10]	周东，刘毛毛，刘宗辉，等. 基于探地雷达属性分析的隧道内溶洞三维可视化研究[J]. 岩土工程学报，2023，45(2)：310-317. (ZHOU Dong，LIU Maomao，LIU Zonghui，et al. 3D visualization of karst caves in tunnels based on GPR attribute analysis[J]. Chinese Journal of Geotechnical Engineering，2023，45(2)：310-317.(in Chinese))
[11]	杨道学，赵奎，曾鹏，等. 基于露天开采地下盲空区探地雷达正演模拟及应用[J]. 岩石力学与工程学报，2019，38(11)：2 288-2 298.(YANG Daoxue，ZHAO Kui，ZENG Peng，et al. Forward modeling and application of ground penetrating radar in blind underground cavities of opencast mining[J]. Chinese Journal of Rock Mechanics and Engineering，2019，38(11)：2 288-2 298.(in Chinese))
[12]	DROSSAERT F H，GIANNOPOULOS A. A nonsplit complex frequency-shifted PML based on recursive integration for FDTD modeling of elastic waves[J]. Geophysics，2007，72(2)：9-17.
[13]	YEE K S. Numerical solution of initial boundary value problem involving Maxwell?s equations in isotropic media[J]. IEEE Transactions on Antennas and Propagation，1966，14(3)：302-307.
[14]	HARRY M J. 探地雷达理论与应用[M]. 雷太文，等译. 北京：电子工业出版社，2011：31.(HARRY M J. Ground penetrating radar：theory and application[M]. Translated by LEI Taiwen，et al. Beijing：Publishing House of Electronic Industry，2011：31.(in Chinese))
[15]	刘新有，胡开富，张文涛，等. 滇中引水工程白云岩砂化隧洞涌水突泥处理研究[J]. 人民长江，2022，53(9)：102-108.(LIU Xinyou，HU Kaifu，ZHANG Wentao，et al. Treatment of mud and water inrush in sanded-dolomite tunnel of Central Yunnan Water Diversion Project[J]. Yangtze River，2022，53(9)：102-108.(in Chinese))
[16]	STOCKWELL R G，MANSHINHA L，LOWE R P. Localization of the complex spectrum：The S transform[J]. IEEE Transaction on Signal Procesing，1996，44(4)：998-1 001.
[17]	张先武，高云泽，方广有. 带有低通滤波的广义S变换在GPR层位识别中的应用[J]. 地球物理学报，2013，56(1)：309-316. (ZHANG Xianwu，GAO Yunze，FANG Guangyou. Application of generalized S transform with lowpass filtering to layer recognition of ground penetrating radar[J]. Chinese Journal of Geophysics，2013，56(1)：309-316.(in Chinese))