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隧道建设(中英文) ›› 2025, Vol. 45 ›› Issue (8): 1549-1560.DOI: 10.3973/j.issn.2096-4498.2025.08.012

• 地质与勘察 • 上一篇    下一篇

基于勒夫波的隧道不良地质精细探测方法研究

佟瑶1, 郝磊1, 李忠治1, 陈磊1, *, 郭宜果2, 付一木2, 宋长青3   

  1. (1. 山东大学岩土与地下工程研究院, 山东 济南 250061; 2. 国网山东省电力公司经济技术研究院,山东 济南 250001; 3. 广东电网有限责任公司广州供电局, 广东 广州 510620)
  • 出版日期:2025-08-20 发布日期:2025-08-20
  • 作者简介:佟瑶(2000—),女,山东泰安人,山东大学岩土工程专业在读硕士,研究方向为隧道地震波超前探测。 E-mail: 1263376635@qq.com。 *通信作者: 陈磊, E-mail: clei667@163.com。

Fine Detection Method for Tunnel Unfavorable Geology Based on Love Surface Wave

TONG Yao1, HAO Lei1, LI Zhongzhi1, CHEN Lei1, *, GUO Yiguo2, FU Yimu2, SONG Changqing3   

  1. (1. Institute of Geotechnical and Underground Engineering, Shandong University, Jinan 250061, Shandong, China; 2. Economic & Technology Research Institute of State Grid Shandong Electric Power Company, Jinan 250001, Shandong, China; 3. Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Guangzhou 510620, Guangdong, China)
  • Online:2025-08-20 Published:2025-08-20

摘要: 为解决隧道施工过程中的不良地质超前探测难题,将地表震源激发的勒夫波引入浅地表地质探测研究。首先,对隧道前方地层面波地震记录及频散曲线进行特征分析,揭示勒夫波在隧道地质探测中的信号特征,并提出适用于复杂城市环境条件的勒夫波提取方法;其次,开展勒夫波频散曲线反演方法研究,采用阻尼最小二乘法拟合频散曲线,并通过数值模拟算例验证该方法的可行性与有效性;在此基础上,构建典型隧道施工不良地质模型,包括含低速夹层的层状地层与含低速异常区的地层,并开展数值模拟试验。成像结果表明,基于勒夫波的面波探测能够较好地反映地下地层结构变化,尤其在识别低速夹层与低速异常区方面表现出比瑞雷波更为清晰和稳定的优势。进一步地,在济南某城区地表进行现场试验,结果显示该方法能够有效获取地层横波速度结构,与钻孔取样结果对比吻合较好,验证了基于勒夫波的隧道不良地质探测方法的可靠性与应用价值。研究成果表明,该方法在隧道施工中具备较强的工程适用性。

关键词: 隧道, 不良地质, 勒夫波, 地震记录, 频散曲线特征, 地质探测

Abstract: Compared with Rayleigh waves, Love waves exhibit a higher degree of frequency-dispersion curve identification, are free from P-wave interference, and present an easily recognizable dispersion curve shape. Applying Love waves to the detection of adverse geological conditions improves the accuracy of geological investigations. In this study, surface seismic source-induced Love waves are introduced into shallow surface geological exploration. First, the seismic records and dispersion curves of surface waves in front of a tunnel are analyzed to reveal the characteristics of Love wave signals in tunnel geological detection, and an extraction method for Love waves under complex urban environmental conditions is examined. Second, the inversion method for the Love wave dispersion curve is investigated, and a simulation example demonstrates the effectiveness of the damping least-squares method in fitting the Love wave dispersion curve. Based on this approach, a detailed detection method for tunnel construction in adverse geological conditions using Love waves is developed. Finally, a typical numerical model of adverse geological conditions in tunnel construction is established, and numerical experiments for Love wave detection are conducted. The imaging results show that face wave detection based on Love waves can accurately reflect changes in geological strata, enabling imaging and identification of typical formations such as layered strata with low-velocity interlayers and layered strata with low-velocity anomaly zones. A field test conducted in an urban area of Jinan verifies the effectiveness of the proposed method.

Key words: tunnel, unfavorable geology, Love surface wave, seismic record, dispersion curve characteristics, geological detection