摘要
为了解决马口排隧道开挖过程中遇到的隧道溶洞水水源识别问题,结合马口排隧道的相关施工资料、地质资料,通过水分析化学试验,采用灰色预测模型的方法研究隧道溶洞水水源与周边不同地下河水系之间的关联度,对其进行预测分析,得出马口排隧道溶洞水水源最可能为仙桥地下河,并依据现场资料及实地勘察,验证了灰色预测模型分析结果的准确性。运用该模型对浅埋偏压残坡体断层破碎岩溶隧道工程施工中突水水源的问题进行快速、准确预测,为突水治理节约时间,并为突水防治提供参考,制订有效的技术方案。
In order to solve the problem of tunnel water source identification in tunnel excavation process,combined with the relevant construction data and geological data of Makoupai tunnel,through the water analysis chemistry experiment,the gray prediction model is used to study the tunnel cave and the correlation between the water source and the surrounding underground river system is analyzed and analyzed. It is concluded that the water source of the cave water in the mouth tunnel is most likely to be the underground bridge of Xianqiao and the gray prediction model is verified according to the field data and field investigation the accuracy of the results. The model is used to quickly and accurately predict the problem of water inrush in the construction of shallow buried biased residual fault fault. The time of water treatment is taken as a reference for the water inrush prevention and control,and an effective technical scheme is put forward.
出处
《建筑技术开发》
2017年第07X期49-51,共3页
Building Technology Development
基金
国家自然科学基金(41372289)
关键词
浅埋偏压
灰色预测模型
岩溶隧道
水源
shallow buried bias
gray prediction model
karst tunnel
water source