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隧道建设(中英文) ›› 2017, Vol. 37 ›› Issue (1): 24-29.DOI: 10.3973/j.issn.1672-741X.2017.01.004

• 研究与探索 • 上一篇    下一篇

基于灰色理论的雪山梁隧道施工过程渗漏水水源识别研究

王志杰, 李昭, 马德林, 王国栋   

  1. (西南交通大学交通隧道工程教育部重点实验室, 四川 成都 610031)
  • 收稿日期:2016-05-27 修回日期:2016-07-29 出版日期:2017-01-20 发布日期:2017-01-24
  • 作者简介:王志杰(1964—),男,山西万荣人,1996年毕业于西南交通大学,桥梁与隧道工程专业,硕士,教授,主要研究方向为隧道与地下工程。Email: 1049814641@qq.com。
  • 基金资助:

    交通运输部西部科技项目(2013-318-J13-340); 中央高校基本科研业务费专项资金资助(SWJTU11ZT33); 教育部创新团队发展计划资助(IRT0955)

Research on Water Source Identification of Water Leakage during  Construction of Xueshanliang Tunnel Based on Grey Theory

WANG Zhijie, LI Zhao, MA Delin, WANG Guodong   

  1. (Key Laboratory of Transportation Tunnel Engineering, Ministry of Education,  Southwest Jiaotong University, Chengdu 610031, Sichuan, China)
  • Received:2016-05-27 Revised:2016-07-29 Online:2017-01-20 Published:2017-01-24

摘要:

为了解决黄龙景区雪山梁隧道开挖过程中的涌水水源识别问题,结合黄龙景区雪山梁隧道的相关施工资料,依据已有的地质资料和涌突水预测,通过水分析化学实验,采用灰色理论计算方法研究不同水系之间的关联度; 而后针对单一水源和混合水源分别进行试验和分析,得出雪山梁隧道出口段内渗漏水来源最可能为大气降水,关联度较高的还有淘金沟上游水系和隧道出口处水系; 最后进行比对,得出隧道渗漏水主要来源是大气降水和淘金沟上游水体的结论,并依据现场资料及实地踏勘,验证了灰色理论分析结果的可靠性。

关键词: 灰色理论, 雪山梁隧道, 渗漏水, 水源识别, 灰色关联度

Abstract:

The grey relational degrees among different water systems of Xueshanliang Tunnel are studied by water chemical analysis experiment based on existing geological data and water gushing prediction, so as to identify the water source of water leakage. The single water source and multiple water sources are tested and analyzed. The results show that the atmospheric precipitation may be the main water source of water leakage of exit section of Snow Mountain Tunnel, and the upstream water system of Taojin Ditch and water system of tunnel exit have a high relational degree as well. Site investigation is carried out, and the results show that the atmospheric precipitation and upstream water system of Taojin Ditch are the main water sources of water leakage of Snow Mountain Tunnel. The analytical results of grey theory are proved to be feasible.

Key words: grey theory, Xueshanliang Tunnel, water leakage, water source identification, grey relational degree

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