【作者】 谢雄耀； 于超； 赵永辉； 覃晖；

【Author】 XIE Xiongyao~①YU Chao~①ZHAO Yonghui~②QIN Hui~①(①Department of Geotechnical Engineering,Tongji University,Shanghai 200092)(②School of Ocean and Earth Sciences,Tongji University,Shanghai 200092)

【机构】 同济大学隧道及地下建筑工程系； 同济大学海洋与地球科学学院；

【摘要】 在目前的山岭隧道中往往存在空洞与脱空、裂缝、渗漏水等病害,普通病害检测方法常常会对隧道造成损伤,而且不能大范围快速检测,而探地雷达就能很好地解决以上问题,进行快速的无损检测。为提高探测效率和对图像准确解释,正演模拟是必须的。基于时域有限差分法(FDTD),利用模拟软件GprMax,作者做了山岭隧道空洞病害的雷达图像的正演模拟,模拟结果和实际模型比较吻合,进一步研究比较一系列影响雷达图像的因素,得出相关结论,为复杂探地雷达图像的识别提供了依据和经验,为建立此类图像识别的数据库打下了基础。更多还原

【Abstract】 There are always some diseases,such as cavity,escapes spatial,crack,leak and so on,in today’s mountain tunnel.Common disease detection methods have the problem of bringing about damage to the tunnel and hasn’t a wide range of rapid detection.While,ground penetrating radar will be able to solve the above problems better, taking fast non-destructive detection.In order to improve detection efficiency and accurate interpretation of the image, the forward simulation is necessary.Based on finite-difference time-domain(FDTD ) method,using the simulation software GprMax,the author take a forward simulation of the cavity’s radar image in mountain tunnel,the simulation results and the actual comparison of model fit well,then compare some influence factors,and make some conclusions. It provides the basis for recognition and experience for complex ground penetrating radar images,lay the foundation for the establishment of a number of image recognition database.更多还原