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隧道衬砌空洞探地雷达图谱正演模拟研究
引用本文:张鸿飞,程效军,高攀,周鑫鑫.隧道衬砌空洞探地雷达图谱正演模拟研究[J].岩土力学,2009,30(9):2810-2814.
作者姓名:张鸿飞  程效军  高攀  周鑫鑫
作者单位:1. 同济大学 土木工程学院测量与国土信息系,上海 200092;2. 现代工程测量国家测绘局重点试验室,上海 200092; 3. 中铁隧道集团,洛阳 471009;4. 郑州大学 水利与环境学院,郑州 450002
摘    要:探地雷达作为一种高效、先进的无损检测设备,能够对隧道衬砌实施连续扫描,实时获得雷达图谱。然而,由于探地雷达在我国的应用时间还非常短暂以及雷达图谱的复杂性,隧道衬砌空洞探地雷达图谱的辨识还存在一定的问题。据此,通过不同环境的试验得到空洞雷达图谱特征,并利用二维时域有限差分法对衬砌空洞雷达图谱进行正演模拟。采用VC++语言编写探地雷达正演模拟程序,对隧道衬砌检测中常见的几种空洞模型进行正演模拟,得出模拟波形和图谱,并与实测隧道衬砌空洞的探地雷达波形和图谱进行对比。结果表明,模拟图谱与实测结果相似,具有较明显的空洞特征。良好的结果也验证了二维时域有限差分法(2D-FDTD)正演模拟的可行性。

关 键 词:探地雷达  衬砌空洞  二维时域有限差分法  正演模型  
收稿时间:2009-04-07

Research on forward simulation of tunnel lining cavity GPR images
ZHANG Hong-fei,CHENG Xiao-jun,GAO Pan,Zhou Xin-xin.Research on forward simulation of tunnel lining cavity GPR images[J].Rock and Soil Mechanics,2009,30(9):2810-2814.
Authors:ZHANG Hong-fei  CHENG Xiao-jun  GAO Pan  Zhou Xin-xin
Institution:1. Department of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China; 2. Key Laboratory of Advanced Engineering Survey of SBSM, Shanghai 200092, China; 3. China Railway Tunnel Group, Luoyang 471009, China; 4. School of Water Conservancy and Environment, Zhengzhou University, Zhengzhou 450002, China
Abstract:With the advantages of efficiency, advancement and non-destruction, ground penetrating radar (GPR) can scan the lining of tunnels successively and obtain objective and accurate images. Because of the transitory application of GPR in China and the complexity of radar images, there are still some problems in the identification of cavity radar images. Accordingly, through various tests the cavity feature is obtained; and GPR waves and images of tunnel lining cavity are simulated using 2D-FDTD. Finally, a forward numerical simulation program is developed with VC++, which simulates a few familiar cavity models in detection of tunnel lining. Comparing the simulated waves and images with the measured, and it is shown that the simulated, which has the cavity feature, is similar to the measured. The good results verify the feasibility of 2D-FDTD.
Keywords:GPR  lining cavity  2D-FDTD  forward model
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