Stability of Accumulation of Granular Columns Based on Chaos Optimization Algorithm

The particle column is a non-uniform adaptive structure whose initial value is a random variable. Considering the instability of the particle filling mode, this paper uses a chaotic optimization algorithm to analyze its stability. By simulating the adaptive characteristics of particle column flow, stable control of particle column flow is achieved. Finally, the stability of the stack was studied in comparison with the results of orthogonal experiments. The study found that the solution based on the chaos optimization algorithm can control the stability of the particle column packing form to about 90%, and the extreme value difference is less than 1%. This algorithm has high computational efficiency and accuracy.