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隧道建设(中英文) ›› 2015, Vol. 35 ›› Issue (12): 1258-1263.DOI: 10.3973/j.issn.1672-741X.2015.12.004

• 研究与探索 • 上一篇    下一篇

山岭隧道涌水量预测方法分类及相关因素分析

顾博渊, 史宝童, 黄嫚   

  1. (中交第一公路勘察设计研究院有限公司, 陕西 西安 710075)
  • 收稿日期:2015-03-30 修回日期:2015-05-13 出版日期:2015-12-20 发布日期:2016-01-08
  • 作者简介:顾博渊(1981—),男,上海崇明人,2003年毕业于同济大学,隧道及地下工程专业,硕士,高级工程师,现从事高速公路隧道设计工作。

Classification of Water Inflow Prediction Methods for Mountaincrossing Tunnels and Analysis on Related Factors

GU Boyuan, SHI Baotong, HUANG Man   

  1. (CCCC First Highway Consultants Co., Ltd., Xi’an 710075, Shaanxi, China)
  • Received:2015-03-30 Revised:2015-05-13 Online:2015-12-20 Published:2016-01-08

摘要:

准确预测隧道涌水量能有效减少隧道病害,保护生态环境,科学指导隧道的设计与施工,而如何正确选择和应用预测方法,是准确预测的前提条件。通过广泛调研,在总结分析各类涌水量预测方法的原理和适用范围基础上,以六盘山隧道某断面为例,深入探讨了围岩渗透系数、洞室尺寸、地下水位净高变化、注浆圈厚度、注浆水平和衬砌抗渗等级等因素对隧道涌水量的影响,重点指出各类解析方法的局限性和适用条件,突出了注浆水平在实际工程中的作用,并建议山岭公路隧道衬砌抗渗等级不宜小于S8。

关键词: 隧道涌水量, 地下水动力学, 注浆, 抗渗等级, 预测方法

Abstract:

The accurate prediction of the tunnel water inflow is helpful in minimizing the tunnel disease, protecting the environment and guiding the design and construction of the tunnel. However, the selection of proper water inflow prediction method, as well as its proper application, is a prerequisite for the accurate prediction of the water inflow. In the paper, the principles and application scopes of various water inflow prediction methods are summarized and analyzed, and the influence of the surrounding rock permeability coefficient, tunnel dimension, groundwater level, grouting ring thickness, grouting effect and lining impermeability grade on the water inflow is analyzed, with Liupanshan tunnel as an example. Furthermore, the limitations and application scopes of the analytical methods are provided, the application of the grouting effect in the water inflow prediction is highlighted, and it is proposed that the impermeability grade of the lining of mountaincrossing highway tunnels should not be inferior to S8.

Key words: tunnel water inflow, groundwater dynamics, grouting, impermeability grade, prediction methods

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