院报 ›› 2018, Vol. 35 ›› Issue (3): 92-96.DOI: 10.11988/ckyyb.20171127

• 岩土工程测试与监测 • 上一篇    下一篇

隧道超前地质预报中的地质雷达波场特征分析与应用

周黎明, 付代光, 肖国强, 张杨   

  1. 水利部岩土力学与工程重点实验室,武汉 430010
  • 收稿日期:2017-09-27 出版日期:2018-03-01 发布日期:2018-03-16
  • 作者简介:周黎明(1977-),男,吉林辉南人,教授级高级工程师,博士,主要从事岩土工程地球物理技术方面的研究工作。E-mail:brian5396@126.com
  • 基金资助:
    国家自然科学青年基金项目(41202223,51409013);国家重点研发计划项目(2017YFC1501200,2017YFC1502600)

Characteristics of Ground Penetrating Radar Profile in Advanced Geological Prediction for Tunnels: Analysis and Application

ZHOU Li-ming, FU Dai-guang, XIAO Guo-qiang, ZHANG Yang   

  1. Key Laboratory of Geotechnical Mechanics and Engineering of the Ministry of Water Resources,Yangtze River Scientific Research Institute, Wuhan 430010, China
  • Received:2017-09-27 Online:2018-03-01 Published:2018-03-16

摘要: 为提取破碎带、 溶洞等隧道不良地质体的地质雷达剖面特征, 达到提高地质雷达(GPR)隧道超前预报结果准确性的目的, 采用二维时域有限差分法, 设计隧道环境下的水平破碎带、 倾斜破碎带、 空腔溶洞和含水溶洞的4种理论模型, 正演模拟其雷达剖面记录。 通过安江高速公路3个岩溶隧道GPR探测典型实例结果, 证明了本次正演模拟结果的有效性。 研究结果表明: GPR在短距离内识别破碎带、 溶洞等不良地质体的位置和水平发育情况上效果比较明显, 而对于不良地质体垂直发育情况以及倾斜角度方面存在一定的局限性。 因此, 以详细的工作面地质素描为基础, 利用隧道不良地质体雷达剖面特征对实测GPR资料进行分析, 可以获得较好的超前预报结果。

关键词: 隧道, 超前地质预报, 地质雷达, 不良地质体, 溶洞, 破碎带

Abstract: To improve the accuracy of advanced geological prediction for tunnels by Ground Penetrating Radar (GPR), the GPR profiles of bad geological bodies (including horizontal fracture zone, inclined fracture zone, cavity and karst cave) were extracted by forward simulation in two-dimensional finite difference time-domain models. Case study on three karst tunnels of Anjiang Highway demonstrated the effectiveness of the forward simulation result. The result revealed that GPR is of obvious efficiency in identifying the location and horizontal development of fracture zone and karst cave, but has some limitations for vertical development and tilt angle of bad geological bodies. In conclusion, satisfactory result of advanced prediction can be obtained by analyzing measurement data through GPR profile based on detailed geological sketch.

Key words: tunnel, advanced tunnel prediction, geological radar, bad geological bodies, karst cave, fracture zone

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