Study On Accuracy Of GRP Geological Prediction Based On The Improved AHP

With the rapid development of tunnel engineering in our country geological conditions of tunnel construction are becoming more complex, which puts more weight in the security issue. ntoorderI avoid diseases such as water gushing, sudden mud, tunnel collapse, etc, radar gpenetratin geological(GPR) is widely used in geological tunnel prediction. The prediction of GPR is often influenced by the environment, instrumentation,factorsother andtion interpreta image,processing data, toleadswhich some errors of prediction. Thus it is very necessary to monitor prediction effects and choose scientific and effective evaluation method for accuracy of the prediction result.GPRMAX is used for forward modeling of GPR geological prediction in this paper.The scientificity of prediction is improved by summarizing the propagation law and characteristics of common radar waves through analyzing radar profile map, time-domain. spectrum and waveform Through a statistic analysis for the accuracy of completed tunnel geological prediction, the factors that affect the accuracy and the advantages and disadvantages of different evaluation methods are concluded. on this basis, the analytic hierarchy process(AHP) is improved by integrating the principle of maximum membership evaluation ivecomprehensfuzzy of,then four-level evaluation model which judges the accuracy of GPR geological prediction is established. Meanwhile, one geological prediction in Xiao BeiShan tunnel is selected to be applied in this model.The final result of judgment is “accurate”. The actual condition of tunnel face is compared with the results of image interpretation,which indicates that prediction is accurate and can be adopted. Consequently, it is verified that using improved AHP to judge accuracy of GPR geological prediction is reasonable and practical.