| As a working gate in a hydraulic building,a radial gate plays an important role in the structural safety of hydraulic structures.The design of the radial gate needs to be safe and reliable,technologically advanced,economical and reasonable.In accordance with the current design specifications of the radial gate design,due to the neglect of the whole structure of the radial gate the overall design is too conservative in the design,and the material performance fails to give full play.Optimization design is a new design method,which is the combination of optimization principle and computer technology,finding the most suitable design from a large number of design proposals.In this paper,the optimal design method is used to optimize the structure of the radial gate and find the best design scheme to improve the design efficiency and quality.Based on the deep learning of the standard genetic algorithm and the principle of structural optimization,this paper takes the radial gate structure as the research object,combining the improved genetic algorithm,finite element theory,parametric modeling technology,Visual Basic programming language and finite element software ANSYS secondary development technology.Constructing the radial gate structure optimization system by Visual Basic,the system can accomplish automatical invocation of ANSYS for radial gate parameterized modeling and optimizations of the structural cross section and structural dimension.The specific method is to use the the APDL language of ANSYS to construct the parametric model of the radial gate firstly.And then use Visual Basic to compile the improved genetic algorithm program and set the optimization parameters.Realize the background call of the finite element software ANSYS through ANSYS secondary development technology and optimize the returned calculation results.Eventually output the optimal model of radial gate.In this paper,the finite element model of the radial gate is established,and the stress and strain analysis of the radial gate under the design condition and the gravity load are carried out.On the basis of deep research on genetic algorithm,the selection mechanism of simulated annealing algorithm is introduced,which improves the efficiency of the algorithm and effectively alleviates the local convergence problem of genetic algorithm.By achieving the combination of the improved genetic algorithm and the optimization of the radial gate structure,the improved genetic algorithm is successfully applied in the structural optimization of the radial gate.The optimization system of the radial gate structure is established,and the structure optimization of the radial gate is successfully realized with a practical project as an example to calculate.After optimization,the weight of the gate is reduced by 10.83%,and the structural optimization of the radial gate is successfully realized.Then this paper makes a comparative analysis on the stress and strain of the radial gate structure before and after the optimization.And on the basis of the optimization of radial gate structure,the design variables of the radial gate are grouped and compared,and the optimization results of structure section and structure dimension were compared.At the same time,the optimization effect of each group of optimization variables is discussed,and the design variables which have significant influence on the optimization of the radial steel gate are obtained in this paper.And provide a reference for the selection of optimal parameter combination.It can be seen from the results of this paper that using the combination method of improved genetic algorithm and numerical simulation to optimize the structure of the radial steel gate can get a better optimization results.And the established optimization system is easy to use that you can save design time and provide some reference for the design work. |
