Optimization of Axial Buckling Capacity of Desulfurization Tower Based on Ideal Point Method

For the structural design problem of the core device of flue gas desulfurization in mining and chemical industries, taking the minimum weight and maximum buckling resistance as the optimization objectives, the multi-objective optimization problem is transformed into a single-objective optimization problem based on the ideal point method, combined with the stress distribution characteristics under different parameters. A buckling resistance optimization model for the desulfurization tower is established. Based on the APDL language, a parameterized modeling and optimization analysis method for the desulfurization tower′s buckling resistance is designed for a specific flue gas desulfurization project as the engineering background. The main conclusions of the axial compression buckling resistance optimization are as follows: 1) The ring and longitudinal reinforcing bars have good strengthening effects on the structural stability of the desulfurization tower under axial compression load, but the strengthening effect of the longitudinal reinforcing bar is significantly better than that of the ring reinforcing bar; Although the combined strengthening effect is lower than that of the longitudinal reinforcing bar alone, the engineering actual complex working conditions determine that the ring reinforcing bar is indispensable; 2) The combined strengthening structure has a significant increase in strength, the maximum allowable stress is raised by more than one and a half times, the strengthening effect is obvious; Although the degree of deformation of the structure has a slight increase, the distribution is more uniform, and the material bearing capacity can be used more fully to ensure the overall stability of the structure. 3) The optimized tower structure weight increased from 417 810 kg to 429 160 kg, an increase of 2.715%, and the structural buckling capacity increased from 22 077.435 N to 47 536.231 N, an increase of 115%. Through this optimized analysis method, a more reasonable reinforcement scheme can be obtained, the operation process is simple, and the optimization effect is obvious.