岩土力学 ›› 2019, Vol. 40 ›› Issue (8): 3282-3290.doi: 10.16285/j.rsm.2018.0796

• 测试技术 • 上一篇    

基于探地雷达属性分析的典型岩溶 不良地质识别方法

刘宗辉1, 2, 3，刘毛毛1，周东1, 3，蓝日彦2，吴恒1，王业田1   

  1. 1. 广西大学 土木建筑工程学院，广西 南宁 530004；2. 广西新发展交通集团有限公司，广西 南宁 530028； 3. 广西大学 广西防灾减灾与工程安全重点实验室，广西 南宁 530004
  • 收稿日期:2018-08-05 出版日期:2019-08-12 发布日期:2019-08-26
  • 通讯作者: 刘毛毛，男，1993年生，博士研究生，主要从事隧道工程地质预报方面的研究。E-mail: mm135134@163.com E-mail:zonghui87621@163.com
  • 作者简介:刘宗辉，男，1987年生，博士，工程师，主要从事隧道工程地质预报、土壤污染检测方面的研究。
  • 基金资助:
    国家自然科学基金（No. 51708136）；广西自然科学基金青年项目（No. 2017GXNSFBA198199）；广西重点实验室系统性研究项目（No. 2016ZDX002）；广西科技基地和人才专项（No.桂科AD17129047）。

Recognition method of typical anomalies in karst tunnel construction based on attribute analysis of ground penetrating radar

LIU Zong-hui1, 2, 3, LIU Mao-mao1, ZHOU Dong1, 3, LAN Ri-yan2, WU Heng1, WANG Ye-tian1   

  1. 1. College of Civil Engineering and Architecture, Guangxi University, Nanning, Guangxi 530004, China; 2. Guangxi Xinfazhan Communications Group Co., Ltd., Nanning, Guangxi 530028, China; 3. Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning, Guangxi 530004, China
  • Received:2018-08-05 Online:2019-08-12 Published:2019-08-26
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (51708136), the Science Foundation for Distinguished Young Scholars of Guangxi (2017GXNSFBA198199), the Systematic Project of Guangxi Key Laboratory of Disaster Prevention and Engineering Safety (2016ZDX002) and the Guangxi Science and Technology Base and Talents Project (AD17129047).

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摘要： 采用探地雷达进行岩溶隧道超前地质预报时，受现场探测环境、岩溶地质的复杂性以及解译技术制约，多解性问题一直未能得到很好解决。从依托工程中选取代表性的案例，分析总结隧道建设中常见的几种典型岩溶不良地质的属性特征，结果表明岩溶不良地质类型与探地雷达属性参数有很好相关性，其中：空腔型溶洞、干燥松散黏土夹碎石充填型溶洞和无水破碎带雷达反射波中心频率随时间衰减较慢，分布范围分别为90～105、85～100、70～110 MHz；软塑状黏土充填型溶洞和富水破碎带雷达反射波中心频率随时间衰减较快，分布范围分别为60～80 MHz和40～70 MHz。研究属性特征定量表示方法，提出基于广义S变换及子波谱模拟的雷达波吸收衰减参数计算方法。实际数据分析结果表明：每种属性都能从某些角度反映岩溶不良地质体雷达反射波的特征，在综合多个特征参数后，可以较好地区分不同的岩溶不良地质类型，从而提高探地雷达目标识别精度。

关键词: 探地雷达, 岩溶隧道, 属性分析, 特征参数, 不良地质识别

Abstract: It is difficult to solve the problem of multi-results when using ground penetrating radar (GPR) to forecast geological anomalies of karst tunnel due to numerous factors, such as the field detection environment, the complexity of karst geology and the interpretation technology and so on. Some representative cases from the previous projects were chosen as the studied object, the attribute characteristics of typical geological anomalies in karst tunnel construction were analyzed and summarized. The results of field tests indicated that the attribute characteristics were closely associated with karst geological anomalies. Among them, the center frequencies of GPR reflection waves in cavity karst caves, karst caves filled with dry loose clay and gravel and anhydrous fracture zones attenuated slowly with time, and the distribution ranges were 90-105 MHz, 85-100 MHz, and 70-110 MHz respectively. However, the center frequency of radar reflection waves in karst caves filled with soft plastic clay and water-saturated fracture zones decreased rapidly with time, and the distribution ranges were 60-80 MHz and 40-70 MHz respectively. After studying the method of quantitative representation for attribute features, a calculation method of radar wave absorption and attenuation parameter based on generalized S transform and wavelet spectral simulation was proposed. The analysis results of field tests indicated that each of the characteristic properties could reflect the features of the radar reflection wave of karst geological anomalies in some ways. Different geological anomalies in karst tunnel construction could be distinguished after integration of these characteristic parameters, which could enhance the accuracy of GPR interpretation in karst tunnel advanced geology prediction.

Key words: ground penetrating radar (GPR), karst tunnel, attribute analysis, feature parameter, identification of geological anomalies

中图分类号: 

  • TU 42
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