The Prediction Of Gob-Side Entry Retaining Adaptability And Suppot Technology

Based on the Bayesian classifier and decision tree classifier, the adaptability of gob-side entry retaining laneway is studied by data analysis, numerical simulation and engineering demonstration.Forecasting model and verifying the accuracy of the model.In this paper, the prediction model of the adaptability degree of gob-side entry is used to predict the feasibility of the technology of gob -side entry retaining in 16616 working face of Jinda Mine, and the support of the roadway of 16616 working face is designed.The paper is of theoretical significance to implement the technology of gob-side entry retaining in coal mining, which can be used for reference by other mines at home and abroad. The main contents of this paper are as follows:(1) Five influencing factors affecting the adaptability of gob-side entry are determined; inclination of coal seam, depth of entry roadway,thickness of coal seam, direct top rock and direct top influence coefficient.(2) The prediction model of the adaptability degree of gob-side entry retaining wall based on Bayesian classifier and decision tree classifier is established respectively, and the model is validated. Both of these models meet the requirements of this paper. Bayesian classifier is used to build the prediction model with higher accuracy than the decision tree model.(3) With the prediction model established, the roadway support design of 16616 material road is carried out under the premise of this technology feasible, and the stability of roadway is simulated by Flac3d...