Parameter Selection Model Based on Random Forest Algorithm for Smooth Blasting in Tunnel(Roadway)Excavation
In order to solve the problem of parameter selection for smooth blasting in tunnel/roadway excavation,a parameter selection model based on random forest algorithm was constructed.The input parameters in the model include quality classification BQ of surrounding rock,tunnel(roadway)section area and borehole diameter,and the output parameters include minimum burden,borehole spacing and borehole depth.Then,24 training samples and 7 test samples were used for training and testing of model,and the results show that the relative errors between the output parameters of borehole spacing,minimum burden,borehole depth and the corresponding parameters of test samples are 17%,8.8%and 22%respectively on average,indicating that the model is good in selecting minimum burden,but less effective in selecting blasthole spacing and blasthole depth.
random forest algorithmsmooth blastingprediction of blasting parameterstunnel excavationroadway excavation
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