Dynamic optimization of steel tower by using adaptive genetic algorithm

In order to solve the structural optimization problem of transmission steel tower, dynamic topology combination optimization (TCO) method based on adaptive genetic algorithm is presented. First, wind load is simulated by using Kaimal spectrum and harmonic synthesis method. Then, precise Time-Integration method is applied to analyze the structural dynamic response. Finally, topology rules and adaptive genetic algorithm is applied to optimize the transmission tower. Quasi-static TCO method is also analyzed in this paper. The simulation results demonstrate that the calculated results of the proposed TCO method are obviously better than those of the cross-section size optimization (CSSO) method. For the dynamic TCO method, the simulation dynamic wind load is closer to the natural environment wind, so the calculated result of the dynamic TCO method will be safer.