Optimization Of Concrete Filled Steel Tube Frame Structure Design Based On Improved QPSO Algorithm

The concrete filled steel tube structure has many advantages,and can adapt to the needs of the modern architecture for the direction of large span,towering,heavy load and so on.It has gradually become one of the main structural forms of the high-rise building,large span structure and underground structure.It has a very broad prospect of development and has been widely recognized by scholars at home and abroad.However,at present,the research on the concrete filled steel tube structure focuses on the theoretical calculation and the basic properties of materials.The examples of structural design optimization are not common.In order to adapt to the requirements of energy saving and land saving construction and avoid the waste of materials,it is necessary to take some measures to optimize the design of the concrete filled steel tube frame structure.This enables domestic and foreign engineers to seek reasonable optimization design methods,so as to improve the economic benefits of such building structures.In this paper,the concrete filled steel tube frame is calculated and analyzed by the elastoplastic theory of solid mechanics,in which the sectional modulus is composed of combined shear and flexural modulus,and the finite element analysis model is established by using ABAQUS to get the more accurate internal force under the pressure of the frame structure.In view of the weak shortage of QPSO algorithm in single particle search in complex environment,an improved quantum particle swarm optimization algorithm is obtained by introducing the pheromone mechanism in the ACO algorithm.The new algorithm is applied to the optimization of the concrete steel tube frame structure,and the optimization model is established with the lowest economy as the objective function.Through the MATLAB software,the optimization program of the concrete filled steel tube component is compiled.Through the optimization calculation of the component and frame system by the examples selected in the article,it can be found that the improved QPSO algorithm is suitable for steel in the case of the limit load bearing capacity of the component and the frame and the requirements of the frame.The design of pipe concrete frame structure is optimized.This paper applies the swarm intelligence algorithm to the optimization design of the concrete filled steel tube frame structure,which is of certain significance for the optimization of this kind of structure design and economic saving,and provides some reference for the optimization of other types of architectural structures.