Study On Comprehensive Analysis Method For Advanced Geological Prediction Of Tunnels Based On Fuzzy Evaluation Method

With the rapid development of the expressway network,the geological conditions of tunnel construction are becoming more and more complex.Geological prediction must be used in tunnel construction to avoid diseases such as water gushing,sudden mud,tunnel collapse,etc.A single advanced prediction technique always leads to some errors of prediction because of its limitations.Thus it is very necessary to use these advanced prediction techniques comprehensively based on geological analysis for timeliness and accuracy of the prediction result.This thesis is based on the scientific and technological planning project,"Study on tunnel excavation and limited water control and drainage technology of high water level fracture zone",taking the tunnel in Xiaobei Mountain in Guangdong Province Jie(Yang)to Hui(Lai)expressway construction project as the research background.The main problems in the current geological prediction of tunnel are discussed based on the theoretical analysis of the basic principles and research status of TSP(tunnel seismic prediction),infrared acquisition technology and GPR(ground penetrating radar)。GPRMAX is used for forward modeling of GPR geological prediction.The scientificity of prediction is improved by summarizing the propagation law and characteristics of common radar waves through analyzing radar profile map,time-domain waveform and spectrum.Parameters of relevant geological and geophysical prospecting characteristics are given and comprehensive classification system is built.Finally,a comprehensive prediction model for solving common geological problems has been established by using fuzzy analysis method to give weight to the each factor.The actual condition of tunnel face is compared with the results of the comprehensive prediction model,which indicates that prediction is accurate and can be adopted.Consequently,it is verified that using the fuzzy analysis method to judge accuracy of the comprehensive prediction model is reasonable and practical.