Numerical Simulation Of Mine Deformation Based On Grid Data

The surface subsidence caused by coal resource mining is becoming serious increasingly,which not only poses a threat to underground mineral mining activities,but also causes serious harm to the safety of ground engineering and construction,production and life.Since underground coal seam mining can cause surface movement,the importance of the means is validated by monitoring and analysis of surface movement and deformation to prevent the hazards of surface subsidence,during which the underground coal seam mining caused.Therefore,It is of great significance and practical value to study the dynamic movement and deformation of the surface in the process of mining for the protection of human and natural resources on the surface.In order to solve the problems in the prediction of surface movement and deformation in the mining area,In this paper,the layout of the observation station,the Knothe time function combined with probability integral method prediction,numerical simulation and other aspects of the corresponding research,the main research content is as follows:(1)Aiming at the law of surface deformation under the influence of mining in complex terrain,to solve the problem of unreliable observation results due to the fact that some linear observation stations are complex or in mountainous terrain.The entire range of mining influence cannot be observed.By establishing a network observation station with the measured data in the mining area to verify the feasibility of grid data;analyze the ground movement prediction parameters and their influencing factors;use the BP neural network to estimate the parameters of the probability integral method Combination and inversion.The test results show that the observation accuracy of the network observation station under complex terrain and the practicability of the grid data;at the same time,the parameters of probability integral method predicted by BP neural network are in good agreement with those of measured data fitting..(2)This paper aims at the limitation of the traditional Knothe time function in describing the surface dynamic movement and deformation,according to the dynamic laws of surface subsidence,linear subsidence and planar subsidence,a dynamic prediction model of the mining area's optimized Knothe time function was established.Obtain various dynamic deformation curves of 90 m,270 m and 540 m of the mining surface advancement and the movement trend of the surface basin.The test results show that the traditional Knothe time function is not suitable for the actual situation of dynamic movement and deformation of mining subsidence;the effectiveness of the proposed method is greatly suitable for the grid data of the mining area and accurately represented the surface movement of the mining area.(3)Numerical simulation based on FLAC3 D was performed on the surface deformation of the mining area.According to the geological parameters of the mining area,the working face of the mining area was selected as the simulation object,and the pre-processing of the numerical simulation was carried out by using FLAC3D's own command stream and third-party software to establish the model.,Get the three-dimensional schematic diagram of the working face advancing to different depths of 90 m,270m and 540m;the deformation results obtained by D-In SAR two-orbit method are used to verify the reliability of the numerical simulation results,through the optimal combination of the optimal weight coefficient and the Knothe time function model results,and compare and evaluate the accuracy,the test results show that: obtained by two models The combined predictive analysis of the simulated data shows that the combined model is more stable than a single model,has a lower degree of dispersion,and is more accurate than any single model.