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Research On Prediction And Forecast Of Geology In Daxiangling Tunnel Construction

Posted on:2010-02-03Degree:MasterType:Thesis
Country:ChinaCandidate:X F BaiFull Text:PDF
GTID:2132360278958913Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
Combining the application of Predictive Methods and Forecast of Geology in Daxiangling tunnel of the Yaan-Lugu highway, this thesis develops some geological disaster prediction researches including surrounding rock classification, collapse, rockburst, large deformation, water inrush and burst mud. The DaXiangling tunnel located in the across mountain section belong to the Yalu highway, which is a exceed long tunnel. There are high topographic difference and high crustal stress in the tunnel. The geological conditions of the tunnel is complicated, so it's very difficult to make sure that the tunnel's geological circumstance and the characters, scope and space of the bad geological conditions at the stage of investigation and design, which bring certain of dangerous and difficult for the tunnel construction.On the basis of referencing the experiences of predecessors and the analysis of domestic and international technological methods, some of geological conditions faced in the construction process of highway tunnel and the application of predictive methods and forecast of geological in tunnel have been studied detailedly in the thesis. Finally,a method of advanced forecast of geology, in which the geological analysis methods was taken as the core combining with geophysical prospecting, has been defined. This system evaluate the weight of affecting factor according to the method of the information entropy , and combining with a forecast system associate the support vector machine (SVM) identification model with dynamic recursive neural network Calculated model, and then forming a intelligence technology to some extent. At the last, the system will be used in one tunnel construction process under complicated geological conditions to verify the system's reliability and practicality. Results show that the prediction accuracy is higher, the system can satisfy the practical engineering requirements. In the next future work, the results of the study will directly applied in the construction process of DaXiangling tunnel, and provide experience to any tunnel have the similar engineering geological conditions. The research results enrich the tunnel geological prediction of the content enhance accuracy and reliability of prediction and improve the work efficiency, it provide more reliable forecast and more convenient way for the safety of tunnel excavation and stability of surrounding rock.
Keywords/Search Tags:tunnel, geological disaster, the neural network, intelligent system of prediction and forecast, geological prediction
PDF Full Text Request
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