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重庆交通大学学报（自然科学版）

重庆交通大学学报（自然科学版） ›› 2012, Vol. 31 ›› Issue (5): 948-952.DOI: 10.3969/j.issn.1674-0696.2012.05.08

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隧道施工地质预报方法模糊优选与应用

左昌群1,2，吕乔森1,2，黄彬4   

  1. 1.岩土钻掘与防护教育部工程研究中心，湖北武汉430074; 2.中国地质大学( 武汉) 工程学院，湖北武汉430074; 3.新疆地质工程勘察院，新疆乌鲁木齐830091; 4.中国兵器工业集团北方勘察设计研究院，河北石家庄050021
  • 收稿日期:2011-11-25 修回日期:2012-02-10 出版日期:2012-10-15 发布日期:2015-01-22
  • 作者简介:左昌群(1981—)，女，湖北荆州人，讲师，博士，主要从事地下建筑工程方面的研究。E-mail:helenzz@126.com。
  • 基金资助:
    中央高校基本科研业务费专项资金科研项目( CUGL110215)

Fuzzy Optimization and Its Application of Geologic Prediction Methods in Tunnel Construction

Zuo Changqun1,2，Lv Qiaosen2,3，Huang Bin4   

  1. 1.Engineering Research Center of Rock-Soil Drilling ＆ Excavation and Protection，Ministry of Education，Wuhan 430074， Hubei，China; 2.Faculty of Engineering，China University of Geosciences，Wuhan 430074，Hubei，China; 3.Xinjiang Institute of Geotechnical Investigation，Urumqi 830091，Xinjiang，China; 4.Institute of Geotechnical Investigation ＆ Design of China North Industries Group Corporation，Shijiazhuang 050021，Hebei，China
  • Received:2011-11-25 Revised:2012-02-10 Online:2012-10-15 Published:2015-01-22

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摘要： 以某公路隧道工程进口段为例，利用模糊数学中的隶属度理论对预报方案的模糊信息进行定量化处理，再对 预防方案的多因素进行定量评价，得出优选预报方案为“TRT + 地质雷达+ 超前钻孔”。通过现场实践，模糊优选后 的施工地质预报方法基本揭露了隧道前方存在的破碎围岩位置与岩溶不良地质体，基于预报结论实施的预防措施 有效地防止了涌水、突泥等施工事故的发生，保障了施工安全。

关键词: 隧道, 地质预报, 模糊优选, TRT, 地质雷达

Abstract: Many geological prediction methods have been researched and developed nowadays and each method has its features． It is important to choose rational methods based on the applicability and geological conditions that the operation time and cost can be reduced effectively and the prediction results should be accurate to assure construction safety． Taking the entrance part of Chunshuya Tunnel Project as example，the membership degree theory of fuzzy mathematics was adopted to deal with the fuzzy information of prediction proposals quantitively． The multi-factors of each proposal were evaluated and finally figured out that the best method was“TRT + GPR + pre-drilling”． The result of in-situ application showed that the prediction was successful to explore the potential karst geologic bodies that may bring about tunnel geo-hazards and the preventive measures based on prediction ensured construction safety effectively．

Key words: tunnel, geological prediction, fuzzy optimization, TRT, GPR

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