中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2021, Vol. 40 ›› Issue (07): 88-92.DOI: 10.3969/j.issn.1674-0696.2021.07.13

• 交通基础设施工程 • 上一篇    下一篇

基于TEM的玉磨铁路隧道渗漏水状态预测方法研究

代昱昊,王华,彭桂彬   

  1. (中铁隧道勘察设计研究院有限公司,广东 广州 511464)
  • 收稿日期:2019-09-24 修回日期:2019-12-08 出版日期:2021-07-12 发布日期:2021-07-23
  • 作者简介:代昱昊(1984—),男,河南项城人,高级工程师,硕士,主要从事隧道类超前地质预报方面的研究。E-mail:daiyuhao2003@163.com

Prediction Method of Leakage State in the Yuxi-Mohan Railway Tunnel Based on TEM

DAI Yuhao, WANG Hua, PENG Guibin   

  1. (China Railway Tunnel Consultants Co., Ltd., Guangzhou 511464, Guangdong, China)
  • Received:2019-09-24 Revised:2019-12-08 Online:2021-07-12 Published:2021-07-23

摘要: 瞬变电磁探测结论因高度依赖作业人员的工作经验而具有较高的主观性和偏差性。为了提高瞬变电磁探测结论的准确性与客观性,以在股状地下水的冲刷下极易发生涌突事故的玉磨铁路新平隧道为研究对象,在大量瞬变电磁超前探水试验的基础上,确定视电阻率区间与地下水渗漏水状态的对应关系,同时基于Voxler软件建立80 m×40 m×40 m(长×宽×高)含水体模型,提出了基于瞬变电磁技术的隧道施工渗漏水状态预测方法,实现了对隧道施工渗漏水状态的定量预测,通过实例验证,与现场开挖揭示基本相符,能满足现场安全生产的需要。

关键词: 隧道工程, 瞬变电磁, 视电阻率, 隧道施工, 渗漏水状态, 预测

Abstract: he conclusion of TEM detection is subjective and biased because it highly depends on the working experience of the operators. In order to improve the accuracy and objectivity of TEM detection, the Xinping tunnel of the Yuxi-Mohan Railway was taken as the research object, which was prone to water flush accident under the scouring of the groundwater. Based on a large number of the TEM advanced water detection tests, the corresponding relationship between the range of apparent resistivity and the leakage state was determined. Meanwhile, an aqueous model with the size of 80 m×40 m×40 m (length×width×height) was established based on the Voxler software. Finally, the prediction method of the leakage state in the tunnel construction based on TEM was proposed and the quantitative prediction of leakage state in tunnel construction was realized. Through the verification of engineering examples, it is basically consistent with the excavation revealed by the site, which can meet the needs of on-site safety production.

Key words: tunnel engineering, TEM, apparent resistivity, tunnel construction, leakage state, prediction

中图分类号: