Study On Classification Of Roadway Surrounding Rock And Optimization Of Supporting Parameters In Baixiangshan Iron Mine

Mineral resources are an important material basis for the survival and development of human society.With the gradual increase of people’s demand for mineral resources,the mining mode has gradually changed to a multi-stage mining mode.The classification of surrounding rock and the optimization of supporting parameters have always been the important research content of mine production,which is related to the safety of mine production and economic benefits.Based on the surrounding rock classification and support optimization project of Baixiangshan Iron Mine,this thesis comprehensively adopts the field investigation,theoretical analysis,numerical simulation and field industrial test and other research methods.Based on the measured range of loose circle,the loose circle surrounding rock classification method is used to classify the roadway surrounding rock and analyze the stability of the mine surrounding rock.Based on BP neural network and genetic algorithm,the prediction model of surrounding rock loose zone range was established.Based on the classification results of surrounding rock and the rationality analysis of supporting structure,the supporting modes and supporting parameters of different types of roadway were optimized.Based on the prediction model and support optimization results,the optimization system of surrounding rock classification and anchor net support parameters is developed to assist the safe production of Baixiangshan Iron mine and ensure the safety and stability of the mine,which is of great significance to the sustainable development of the mine.The main research work of this thesis includes the following contents:(1)Collate and analyze the geological data of mining area to understand the geological characteristics of mining area;Through the field investigation,the mine production status and the existing supporting methods and parameters were recorded and counted,and the typical roadway was selected to detect the range of loose circle.Based on the measured range of the loose circle,the surrounding rock of the roadway is classified according to the loose circle surrounding rock classification method,and the classification results are analyzed.Based on the preliminary surrounding rock classification results,the basic mechanical parameters of surrounding rock were obtained through field sampling and laboratory experiments,which provided the parameter basis for the later numerical simulation.(2)SPSS software was used to analyze the influencing factors of loose circles,and the key influencing factors were determined by frequency analysis.On this basis,the indexes for predicting loose circles were selected.Based on BP neural network and genetic algorithm,the GA-BP loose circle thickness prediction model was constructed.Based on the collected loose circle data,the training samples and test samples were formed.The training samples were used to train the prediction model,and the test samples were used to check the accuracy of the prediction model.(3)Based on the preliminary field investigation and surrounding rock classification results,the rationality of the existing support mode of mining approach under different surrounding rock categories is analyzed and evaluated by using numerical simulation,which provides the direction for the later support parameter optimization research.Based on the evaluation and analysis results of existing support methods,orthogonal experiments were designed,and numerical simulation was used to optimize the support methods and parameters of opening roadway,preparing roadway and mining roadway under different conditions of surrounding rock categories.After sorting out the optimized support schemes,a complete set of support schemes for different conditions of surrounding rock in three kinds of roadway is obtained.(4)Based on GA-BP prediction model and support optimization results,Matlab software is used to develop the surrounding rock classification and anchor net support parameter optimization system.Design system structure and write module code according to system function requirement;The system is applied to 639# in the middle section of-470 m,and the range of loose circle and surrounding rock deformation monitoring are carried out on the roadway after support,and the reliability and effectiveness of the surrounding rock classification and anchor net support parameter optimization system are tested.In this thesis,there are 80 figures,55 tables,and 102 references.