OPTIMIZATION STUDY ON THE CFST FRAME WITH ENERGY DISSIPATION DEVICES BASED ON THE HYBRID PSO METHOD

摘要

The particle swarm optimization(PSO)method was improved and used to optimize the parameters of the energy dissipation devices installed in the concrete filled steel tubular(CFST)frame in this paper.In order to improve the convergence rate and stability of the original PSO method,genetic algorithm was combined with the PSO method because of the rapid convergent rate in the earlier optimization stage.Furthermore,the ranger of group search optimizer was introduced to improve the algorithm's ability of finding the global best solution.As a result,the hybrid PSO method has the advantages of rapider convergent rate in the earlier stage and better local search ability in the later stage.A CFST frame with energy dissipation devices is optimized by this hybrid PSO method.The seismic performances of the CFST frame with energy dissipation devices before and after optimization are compared and analyzed.The results show that the hybrid PSO method has the rapider convergent rate during the optimization of the parameters of the energy dissipation devices,and the maximum inter story drift angles of the CFST frame is decreased and the seismic performances of the structure are improved by means of the hybrid PSO method.It is verified that the hybrid PSO method is valid and has broad application prospect in the optimization design of the CFST frame with energy dissipation devices.