Optimal Design Of Tower Anti Wind Based On Particle Swarm Optimization

Lattice tower is characterized by light mass,small lateral stiffness,small damping and strong sensitivity to wind load.The tower design is mainly based on wind load control.However,there is no standard guidance for this kind of structure with high hollow ratio in the wind resistance optimization design.Based on lattice bungee jumping a 60 m high tower as optimization object,based on VBA programming tools,with the improved particle swarm optimization(pso)algorithm as the optimization algorithm,thought that critical load factor structure,structure of vertex displacement,stress ratio of components as constraint conditions,with bar section area of the optimization goal,by means of finite element software SAP2000 to provide secondary development interface,different algorithms and wind resistance design under different working conditions.The specific contents of this paper are as follows:1.This paper summarizes the calculation method of equivalent static wind load,calculates the wind-induced dynamic response of the structure according to the random vibration theory,calculates the equivalent static wind load according to the inertial wind load method,and then applies the calculated load into the model as additional load.2.This paper introduces the buckling analysis theory of tower structure and the corresponding calculation methods,compares the advantages,disadvantages and limitations of various methods,and calculates the wind load response of tower structure with the first-order elastic analysis method and the second-order elastic analysis method considering the initial eccentricity of the structure as the main analysis methods.3.The basic principle of particle swarm optimization(pso)algorithm is introduced.In this paper,the algorithm is improved in three aspects according to the wind resistance optimization design direction of the tower.In terms of population initialization,Sobol sequence is used instead of random function to make the initial population distribution of any number of particles more uniform without any randomness.This advantage is very obvious in high latitude space.In terms of balancing global optimization and local optimization,the shrinkage factor of yi yunfei is introduced to maintain the diversity of particles in the process of convergence and jump out of the local optimal value in the process of diffusion.In terms of computational accuracy,the hybrid local optimization algorithm is adopted to narrow the particle range and search the optimal value of the function,so as to improve the convergence accuracy.4.Through the study in this paper,the anti-wind optimization theory based on particle swarm optimization algorithm and the finite element analysis of the model are realized seamless docking,from the calculation of wind load of the model,the cycle iteration of the optimization algorithm,the modification of model parameters are automatically completed by the system,and on this basis,the reliability of the algorithm is analyzed by taking an engineering example.