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山东大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (4): 61-68.doi: 10.6040/j.issn.1672-3961.0.2017.015

• 机器学习与数据挖掘 • 上一篇    下一篇

隧道衬砌检测探地雷达图像分析与工程应用

周陈婴   

  1. 中交第二公路勘察设计研究院有限公司, 湖北 武汉 430056
  • 收稿日期:2017-01-13 出版日期:2018-08-20 发布日期:2017-01-13
  • 作者简介:周陈婴(1980— ),男,湖北武汉人,高级工程师,主要研究方向为公路工程勘察设计及项目管理. E-mail:23100475@qq.com

Image analysis and engineering application of ground penetrating radar in tunnel lining detection

ZHOU Chenying   

  1. CCCC Second Highway Construction Consultants Co., Ltd, Wuhan 430056, Hubei, China
  • Received:2017-01-13 Online:2018-08-20 Published:2017-01-13

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摘要： 为了提高隧道病害检测人员对于隧道衬砌病害的识别准确度,基于探地雷达工作原理,结合实际工程应用经验,系统研究衬砌厚度、钢筋及钢拱架分布情况、保护层厚度、围岩破碎富水裂隙发育程度、脱空、不密实、雷达脱离等雷达图像特征及其解译原理,形成一种用于隧道衬砌病害检测的高效探地雷达信号解译方法,并结合实际工程案例进行了分析与验证。其中钢筋在图像上呈现月牙形,脱空在图像上呈弧形反射,不密实表现为杂乱波形,天线脱离呈条带状亮反射。解译方法为隧道衬砌检测提供了参考和依据,有利于隧道病害的及时处理及隧道衬砌质量的准确评价,对提高隧道的整体质量起到重要作用。

关键词: 解译方法, 空洞, 衬砌病害, 衬砌检测, 不密实, 衬砌厚度

Abstract: A practical and efficient interpreting method of GPR signals was proposed in order to improve the accurate identification of the tunnel lining disease based on the working principle of GPR and practical engineering application experience.The interpretation principles, asthe lining thickness, the distribution of reinforced concrete and steel arch, surrounding rock water rich fissures, karst caves, cavity, non-compaction and radar detachment,were systematically analyzed. A method of high efficient ground penetrating radar signal interpretation for tunnel lining disease detection was proposed. This interpreting method had been analyzed and verified with practical engineering. The reinforcement in the image showed crescent shaped, cavity showed arc reflection in the image, non-compaction performances clutter waveform, the antenna was a strip of bright reflection. The interpreting method provides reference and basis for tunnel lining detection which plays an important role in treating tunnel diseases and evaluating tunnel lining quality.

Key words: tunnel lining disease, lining detection, interpreting method of GPR, tunnel lining thickness, void, non-compaction

中图分类号: 

  • U459.2
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