Research On Lightweight Method Of Bridge Crane Main Girder Based On Improved Cuckoo Search Algorithm

As an important large-scale heavy-lift equipment in modern machinery,bridge cranes play an important role in all fields of production in China.For the traditional design of bridge cranes,the cranes are heavy and occupy a large area.The Cuckoo Search algorithm?CS?is used to optimize the crane structure and optimize the cross-sectional area of the girder.Under the premise of satisfying the use requirements,the bridge crane structure is more compact and its weight is reduced.The main research contents of this paper are:?1?The paper Analyze current development status of cranes at home and abroad,and point out that lightweighting is an important road for crane research.Through the analysis of the meta-heuristic intelligent algorithm,the idea of improving the CS algorithm to optimize the size of the crane main beam is determined.?2?According to the optimization design flow,analyze the crane structure and the characteristics of stress and moment,take the main beam static stiffness,strength,boundary size and other constraints as the constraints,select the main beam cross-section six parameters as the design variables,the main beam cross-sectional area Objective function,establish the main beam optimization mathematical model.And use the basic cuckoo search algorithm to optimize it.?3?For cuckoo search algorithm,the convergence speed is slow,the population diversity is poor,and it is easy to fall into the local optimal problem.The dynamic adjustment strategy of step size control vector and the adaptive discovery probability₍?6? are introduced,which improves the convergence speed of the improved algorithm and improves the randomness.,improve the accuracy of optimization.In view of the poor population diversity in the later period of the algorithm,it is easy to fall into a local optimum.Gaussian disturbances and crossover and mutation operators in genetic algorithms are introduced to increase population diversity and improve global stability of the algorithm.The improved cuckoo search algorithm is obtained in this paper,and the improved algorithm is tested with typical functions and compared with the improved data before.The results verify the rationality and feasibility of the algorithm performance and optimization results.?4?Taking the application of a bridge in the market as an example,the basic CS algorithm and the improved CS algorithm are used to optimize the section size of the girder.The results show that under the premise of satisfying the use performance,the basic CS algorithm is 13.65%less than the original data,and the improved CS algorithm is 15.48%less than the original data.Based on this set of parameters,a three-dimensional model of the main beam Solidworks was built,and simulations were performed using ANSYS software.The results show that the optimization of the main beam parameters compared to the original parameters weight reduction effect,thus verifying the feasibility of the optimization results.