Optimization method of space grid structure considering the coupling effect of multiple loads, grid topology, and pole section

Abstract

Given the limitations of the traditional phased design method, this paper proposes an integrated selection and optimization method that considers both the grid topology and the pole section design. The proposed method can consider the influence of structural topology and pole dimensions and the influence of multiple working conditions and their combinations according to the specifications, ensuring that the optimized solution meets the actual engineering requirements. This paper presents the mathematical model, objective function, constraints, and program implementation process of the method. The method uses the minimum amount of steel to determine the optimal grid topology and pole section size. The proposed elite strategy genetic algorithm enables fast selection and global optimisation of structural solutions. The algorithm shows that the method proposed in this paper has high solution accuracy and efficiency, and the optimized grid topology solution uses significantly less steel, which fully illustrates the rationality of this method. The optimisation methodology and the optimisation program proposed in this paper can facilitate the rapid design of grid structures and reduce the cost-effectively.