Intelligent Optimization Method for Slope Morphology and Stability of Phos-phogypsum Stack Based on LM-LSO Algorithm
Mining operations and engineering projects frequently produce numerous unstable artificial waste slopes,which pose significant hindrances to human activities.Consequently,the implementation of effective slope morphology optimization is essential for ensuring engineering safety and maximizing landfill capacity.The development of an efficient,accurate,and scientifically robust method for slope morphology optimization holds substantial theoretical and practical importance for the management of unstable artificial slope projects.Consequently,we propose an advanced slope morphology optimization method,termed LM-LSO,which integrates the levenberg-marquardt(LM)algorithm with the light spectrum optimizer(LSO).Initially,stability coefficients for various slope configurations were computed utilizing the limit equilibrium method,with cut and fill volumes estimated based on the differences in two-dimensional profiles,thereby generating the sample data.Subsequently,cross-product terms among variables were incorporated to capture nonlinear relationships,and the LM algorithm was applied for the nonlinear fitting of the sample data.In conclusion,an infeasible solution rejection method was employed to address stability coefficient constraints,optimizing the solution using the LSO algorithm and benchmarking it against four other algorithms.This approach was implemented to optimize the terrace height,width,and slope angle of a gypsum stack slope in Sichuan Province.The objective was to minimize the excavation volume while ensuring adherence to stability regulations.The final optimized design parameters include terrace heights(h)of 6.38 m,step widths(l)of 4 m,step inclinations(α)of 25.11°,and a minimal excavation volume(Vmin)of 298.92 m².The method comprehensively considers the economic feasibility and stability of slope optimization,ensuring both landfill capacity and safety.
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维普
