Optimization Design Of The Bridge Crane Girder Based On Improved Annealing Particle Swarm Optimization Hybrid Algorithm

With the rapid development of global economy and the continuous expansion of industrial production, the bridge crane as an important material handing equipment, widely used in building materials, transportation, mining, manufacturing, petrochemical and other fields. At present, the design of the bridge crane in china usually adopt traditional methods such as allowable stress method and limit state method. They can meet the engineering needs, but there are a lot of problems such as serious waste of material, larger size of structure and high energy consumption. The percentage of the weight of metal structure bridge in the total weight of bridge crane is from 60 to 80. Main girder is an important part of bridge and an main bearing component of bridge crane. In order to make the development of the bridge crane towards lightweight, safe, reliable, energy-saving, it is particularly important to do the structure optimization of main girder. This paper presents an improved annealing- particle swarm optimization algorithm for the optimization design of the bridge crane girder. The research content mainly has the following points:(1)The bridge crane structures is introduced and load calculations.Determined five size parameters of the main girder section as design variables, manufacturing processes, border size, mechanical performance and other requirements as constraint conditions, the minimum of the main girder cross-sectional area as objective function, build the mathematical model for design optimization of box girder.(2) Analyze the merits and demerits of the particle swarm optimization and simulated annealing algorithm, introduce the "preferred particles" into the particle swarm algorithm then merge the particle swarm algorithm with simulated annealing algorithm, to obtain improved Simulated Annealing- particle swarm optimization algorithm. Validate the improved hybrid algorithm by test functions and main girder optimization examples to prove the superiority of algorithm.(3)Using MATLAB software for the realization of the tool to optimize the 30t\25.5m track box double beam bridge crane girder by improved SA-PSO hybrid algorithm. The girder cross section area of 31230mm2 was reduced by optimization, the weight of the main beam significantly reduce, optimization design purpose was achieved.(4) Static, modal and harmonic analysis of the 30t\25.5m track box double beam bridge crane optimized by improved annealing- particle swarm mixed algorithm by the finite element software ABAQUS. The results show that the optimized girder conform to the requirements of the strength and stiffness, the structure of the bridge is reasonable, and the dynamic performance is good.