李苍松, 李强, 卢松, 廖烟开, 丁建芳. 2019: 隧道岩溶发育程度快速预测评价系统. 工程地质学报, 27(s1): 397-404. DOI: 10.13544/j.cnki.jeg.2019096
    引用本文: 李苍松, 李强, 卢松, 廖烟开, 丁建芳. 2019: 隧道岩溶发育程度快速预测评价系统. 工程地质学报, 27(s1): 397-404. DOI: 10.13544/j.cnki.jeg.2019096
    LI Cangsong, LI Qiang, LU Song, LIAO Yankai, DING Jianfang. 2019: A RAPID PREDICTION AND EVALUATION SYSTEM FOR TUNNEL KARST DEVELOPMENT DEGREE. JOURNAL OF ENGINEERING GEOLOGY, 27(s1): 397-404. DOI: 10.13544/j.cnki.jeg.2019096
    Citation: LI Cangsong, LI Qiang, LU Song, LIAO Yankai, DING Jianfang. 2019: A RAPID PREDICTION AND EVALUATION SYSTEM FOR TUNNEL KARST DEVELOPMENT DEGREE. JOURNAL OF ENGINEERING GEOLOGY, 27(s1): 397-404. DOI: 10.13544/j.cnki.jeg.2019096

    隧道岩溶发育程度快速预测评价系统

    A RAPID PREDICTION AND EVALUATION SYSTEM FOR TUNNEL KARST DEVELOPMENT DEGREE

    • 摘要: 准确认识和评价岩溶发育规律及岩溶发育程度是解决岩溶地质灾害问题的关键,结合目前隧道施工中岩溶发育情况评价主要还是依赖于掌子面揭露地质信息的现状,为解决岩溶隧道施工期间开挖揭露岩溶围岩级别划分及超前地质预报过程中对岩溶发育程度的预测评价技术难题,实现现场快速定量判识隧道岩溶发育情况,作者以国家自然基金面上项目研究所取得成果-岩溶发育程度的水化学动力学-分形指数评价技术为基础,编制形成隧道岩溶发育程度预测评价软件系统。本软件系统主要包括以下功能:勘察设计阶段地质信息和施工期岩溶地质信息、基于前两阶段地质信息的岩溶发育程度预测评价、系统管理和维护、以及文件保存和报表打印等。通过现场数据采集和分析,集成各类隧道施工现场的信息,即时预测隧道掌子面前方一定范围内的岩溶发育情况,判定岩溶发育程度,配合岩溶隧道地质预报物探测试分析结果,从而实现对隧道岩溶发育情况的现场快速定量判识、提高岩溶地质预报准确率,进一步为岩溶隧道地质灾害的防治提供地质参考依据。

       

      Abstract: Accurately understanding and evaluating the development law of karst and the degree of karst development are the key to solving the problem of karst geological disasters. In combination with the current situation that the evaluation of karst development in tunnel construction mainly relies on the exposure of geological information by the tunnel surface, in order to solve the technical problems of classification surrounding karst rock and karst development in advance geological forecast, to realize rapid and quantitative identification of karst development in the tunnel. The author based on the results obtained by the National Natural Surface Project Research Institute-the hydrochemical dynamics-fractal index evaluation technology of karst development degree, and compiled the prediction and evaluation software for tunnel karst development degree system. The system mainly includes geological information in the survey and design stage, karst geological information during construction, prediction and evaluation of karst development degree based on geological information of the first two stages, system management and maintenance, document preservation and report printing, et al. Through the field data collection and analysis, integrated various tunnel construction The on-site information can instantly predict the karst development in a certain range in front of the tunnel face, determine the degree of karst development, it could combine the karst tunnel geological prediction geophysical test results to achieve rapid on-site quantitative identification of tunnel karst development, improve accuracy of karst geological prediction, and further provide a geological reference for the prevention and control of karst tunnel geological disasters.

       

    /

    返回文章
    返回