The Research On Stability And Geometric Parameter Optimization Of Gongchangling High-profile Dump

With the constant improvement of technology and efficiency,the waste rock output of the open pit mining increases rapidly.Mines need more space to accommodate the surge of waste rock.And considering the policy in our country,higher dumping site become an inevitable trend with greatly increasing risk of instability.Based on the Dumu Gongchangling dumping site and different kinds of methods,this article lucubrates the slope stability and the geometric parameter optimization.The main work and results are:1.Combining a field investigation in Gongchangling dumping site with consulting of data and the achievements of predecessors,the required mechanical parameters and bulk material arrangements are obtained from MATLAB analysis.2.To improve the coordination of the overall and local search ability and based on the Particle Swarm Optimization(PSO)Algorithm theory,both a modified inertia weight strategy related with iterations and distance to the global optimal position and an integrated modified strategy with a mutation idea introduction are established and testified by 4 classical functions.The results prove that the improved Particle Swarm Optimization(PSO)Algorithm is more accurate and efficient than the canonical one.3.Considering the effect of size grading on dumping site stability,a layered structure model is built.To figure out the problem of easily trapped into local optimal solution during the critical failure surface locating process in limit equilibrium method and large amount of simplifications inside the objective function of improved Particle Swarm Optimization(PSO)Algorithm to determine the most dangerous slip surface,an improvement based on limit equilibrium method BP neural network algorithm and Particle Swarm Optimization(PSO)Algorithm method is established.The stability of dumping site in both normal and rainfall condition is analyzed with this method and FLAC,and the results prove that:The FOS from the two methods are close,accurate and reliable.The FOS descends a little in the rainfall condition and is still above 1.350.The dumping site is stable presently.The slide mode presents tension failure of the upper part,shear failure of the middle part,and the circular slip surface extends to the epipedon along the horizontal ground.4.To optimize the geometrical parameters accurately and efficiently,an improved and BP neural network algorithm based Particle Swarm Optimization(PSO)Algorithm method is established.This method and canonical optimization algorithm are both used to optimize the geometrical parameter optimization model,and the limit equilibrium method is used to examine the stability of the capacity increased dumping site.The result proves that:The optimal solution from two methods are close.But the iterations from the improved and BP neural network algorithm based Particle Swarm Optimization(PSO)Algorithm method is less and this method is more efficient.The FOS of the capacity increased dumping site is 1.20,according with the security requirements.The optimization results is accurate and reliable and will largely increase the capacity of the dumping site and benefit the mining.