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

    A RAPID PREDICTION AND EVALUATION SYSTEM FOR TUNNEL KARST DEVELOPMENT DEGREE

    • 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.
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