Research On Tunnel Rockburst Prediction Method Based On Combination Weight Ideal Point Method-Database

Since the 21 st century,human beings have developed more and more underground space,and rock bursts often occur in underground engineering construction,especially in southwestern China.Due to plate compression and high in-situ stress,rocks will appear in deep buried tunnels,mines and underground powerhouses The phenomenon of blasting poses a serious threat to construction safety.Therefore,the impact of rockburst on construction safety needs to be highly valued by us.In-depth research on the mechanism,prediction and prevention of rockburst is required to ensure the safe construction of all projects under construction.Based on fully collecting the existing rock burst data of existing hydropower stations,tunnels and mines,the thesis combines with the monitoring data of the project to build an Access database.Based on the database,the combination weight ideal point method is used to verify the rock burst prediction criteria and discuss The prediction method of tunnel rockburst based on the combination weight ideal point method-database is introduced.The main research content and results of the paper are as follows:(1)This article stores a large number of rock burst data of hydropower stations,tunnels and mines through the Access database,and the main contributors of rock burst research,and data from all aspects of each project to establish an efficient query of a global database.(2)Through research on the mechanism of rockburst and analysis of predecessor rockburst criteria in combination with the database,it is concluded that the criteria of the predecessor criteria are used to predict the pros and cons of rockburst.The five factors of the combination of mathematical methods to build a predictive judgment model.(3)Relying on the Shuangjiangkou Hydropower Project,the rock burst on the left bank of SPD9 frequently occurs.According to the factors obtained by Access evaluation,combined with the ideal point method of combined weights,the rock burst is predicted for Pingdong,and then the collected rockburst data on site The situation is compared,and the results are consistent with the on-site situation,which verifies the feasibility of the method.