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| Common Geological Prediction Metliods and Its Application in Karst Tunnel |
| GOU De - qiang，XIE Xian – guang |
| (China Railway Southwest Research Institute Co. Ltd，Chengdu，Sichuan 611731，China) |
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Abstract Abstract:Research purposes: China is one of the most widely distributed karst area in the world，the distribution of karst formation extents in wide range，in addition to two karst plateaus which locate in Shanxi as the central distribution area in Northern China and in Guizhou as the central distribution area in Southwestern China，there are more broad geographical span regarding karst formation distribution. The latest statistics show that exposed surface carbonate rock area is of about 2. 03 million km2. With buried carbonate rocks，a total distribution area is of 3. 65 million km2， accounting for more than 1/3 of ChinaV land area. The construction practice of Yichang - Wanzhou railway， Guanjiao tunnel and other famous karst tunnels reveals that construction risk of complicated karst tunnels is very high，and the geological prediction is the leading measure to resolve the construction safety risl^ of complicated karst tunnels. However， due to different prediction goals，the used methods are obviously different，so study of the appropriate karst geology prediction method and its prediction accuracy is necessary. Research conclusions:(1) Based on practice experience and investigation of comprehensive geological prediction in the Yichang - Wanzhou railway， Guanjiao tunnel and Yunnan - Guizhou railway projects and otlier complicated karst tunnels，the time consumption and prediction accuracy of several common karst geology prediction metliods are analyzed， the adaptability and result accuracy of several common karst geological prediction metliods are discussed; (2 ) The components of dFferent geological prediction systems are proposed according to the risk assessment level; ( 3 ) The research results have great reference value for future improvement of karst geology prediction technology and safe construction control of karst tunnels.
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Received: 18 May 2016
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2017, Vol. 34 
