隧道地质灾害预警体系中岩溶裂隙水综合预报技术研究  被引量:7

Study of the prediction of karst-fractured groundwater in prediction and early warning system of tunnel geologic hazards

在线阅读下载全文

作  者:刘斌[1] 李术才[1] 张庆松[1] 李树忱[1] 薛翊国[1] 

机构地区:[1]山东大学土建与水利学院岩土与结构工程中心,山东济南250061

出  处:《山东大学学报(工学版)》2009年第3期115-121,共7页Journal of Shandong University(Engineering Science)

基  金:国家高技术研究发展计划(863计划)资助项目(2007AA11Z131);国家自然科学基金专项基金资助项目(5072790450539080);国家自然科学基金资助项目(50874068);山东省自然科学基金资助项目(Y2008F22)

摘  要:基于目前国内外所进行的岩溶裂隙水预报缺乏深入系统的研究,普遍存在准确性和精度不高,而新方法的研究明显滞后于工程需要的问题.考虑将常用方法的优点加以综合,建立一种新的行之有效的岩溶裂隙水综合预报方法.在总结了国内外隧道工程界常用的超前地质预报方法,综合各种预报方法优点的基础上,按照科学的流程,提出并建立了针对岩溶裂隙水的综合预报方法,最后结合工程实例对掌子面前方的涌水灾害进行了成功地预报和预警.实践证明,综合预报法具有较高的系统性和工作效率,使岩溶裂隙水的预报准确性和精度大大提高,并可对涌水灾害风险进行合理的评价,是值得推广的方法.In the prediction of karst-fractured groundwater, thorough and systemic research is deficient, and there are problems that the accuracy and precision is low. Research on the new technique can not catch up with the engineering demand. For solving this problem, the advantages of the common methods were integrated, and a new integrative method feasible to karst-fractured groundwater prediction was established. First, the advanced geological forecasting methods used in tunnel construction were summarized. Then, based on the scientific process, the integrative advanced geological forecasting method for karst-hactured ground- water was established by comprehensive analysis on the advantages of all the prediction techniques. Finally, the water gush disaster was successfully forecast and earlywaming in the project example. With high systematicness and efficiency, the use of this integrative geological forecasting method makes the accuracy and precision of the prediction highly improved and gushing water disaster risk rationally evaluated, which is worthy to he generalized.

关 键 词:隧道地质灾害预警 综合预报方法 岩溶裂隙水 地质分析 超前钻探 隧道地震预报 地质雷达 红外线法 

分 类 号:U45[建筑科学—桥梁与隧道工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象