城市道路空洞的地面-管道雷达协同探测与联合成像
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作者:
作者单位:

1.广州大学 土木工程学院,广东 广州 510006;2.广东省滨海软土地区地下结构安全防护工程技术研究中心,广东 广州 510006;3.济南轨道交通集团有限公司,山东 济南 250000;4.同济大学 上海防灾救灾研究所,上海 200092;5.城市安全风险监测预警应急管理部重点实验室,上海 200092

作者简介:

刘 海(1986—),男,教授,博士生导师,工学博士,主要研究方向为雷达遥感与深空探测、探地雷达与 超声相控阵无损检测。 E-mail: hliu@gzhu.edu.cn

通讯作者:

刘凤洲(1982—),男,高级工程师,工学硕士,主要研究方向为地铁盾构隧道技术管理与研究. E-mail: aifei20030216@163.com

中图分类号:

P319.3

基金项目:

国家自然科学基金(41874120, 42001346);广东省基础与应用基础研究基金(2021B1515130006);广州市科技计划(20220610017)


Ground-Pipeline Penetrating Radar Joint Detection Technology and Imaging Method for Urban Road Cavity Investigation
Author:
Affiliation:

1.School of Civil Engineering, Guangzhou University, Guangzhou 510006, China;2.Guangdong Engineering Research Center for Underground Infrastructural Protection in Coastal Clay Area, Guangzhou University, Guangzhou 510006, China;3.Jinan Rail Transit Grup Co., Ltd., Jinan 250000, China;4.Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai 200092, China;5.Key Laboratory of Urban Safety Risk Monitoring and Early Warning of the Ministry of Emergency Management, Shanghai 200092, China

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    摘要:

    城市道路空洞是造成道路塌陷事故的主要原因,调查发现空洞主要源于地下管线病害发生渗漏后形成。提出一种地面-管道雷达协同探测技术,建立地下目标探测足尺试验平台,对管线周边不同尺寸的空洞、含水空洞进行探测。结合考虑天线方向图校正的背向投影算法,对管道附近空洞进行协同探测与数据联合成像,室外模型试验验证了该算法的可行性。结果表明:相较于现有地面雷达,管道雷达对地下管线周边的空洞探测结果有着更高的分辨率。同时,相较于传统的背向投影方法,本文提出的地面-管道联合成像方法可在抑制成像目标边缘反射伪影的同时对空洞顶部、底部以及混凝土管内部钢筋进行高精度成像。研究结果可为地下空洞的雷达数据解译提供参考。

    Abstract:

    Cavities under urban roads have increasingly become a great threat to traffic safety. Most cavities are caused by the leakage of underground pipelines. Pipe penetrating radar(PPR) has been widely used in the cavity inspection near the underground pipeline. However, due to the attenuation of electromagnetic waves in the underground medium, it cannot accurately detect the upper surface of the cavity. This paper proposes a ground-pipeline penetrating radar joint detection technology to improve the accuracy of cavity inspection. An underground object detection platform is established to detect air and water-filled cavities with different sizes. In combination with the back-projection algorithm and antenna pattern correction, the cavity near the pipeline can be migrated by proposed joint imaging method. Laboratory experiment results show that the PPR has a higher resolution in cavity inspection compared with ground penetrating radar(GPR) detection. In addition, the undesired diffractive artifacts at the target edges can be suppressed while improving the migration accuracy with the proposed join imaging method. Both the top and bottom of the cavity as well as the reinforcement inside the concrete pipe can be reconstructed with high-resolution by the proposed joint imaging method. The result is helpful to promote the practical application of GPR and PPR to cavity inspection near the underground pipeline.

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刘海,赖思聪,陈俊宏,岳云鹏,陈志杰,刘凤洲,孟旭,胡群芳.城市道路空洞的地面-管道雷达协同探测与联合成像[J].同济大学学报(自然科学版),2023,51(2):179~187

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  • 收稿日期:2022-11-24
  • 在线发布日期: 2023-03-03
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