Structural Optimization Analysis Of Liquid Storage Structure Based On Fluid-solid Coupling And Response Surface Method

Liquid storage structures are very common in engineering applications.When structural components are impacted by external loads,internal liquid sloshing will occur.The additional dynamic stress caused by sloshing will cause a very prominent impact problem on the structure,even exceeding the external load of the structure itself.Therefore,it is of great significance to study the coupling impact of sloshing liquid and liquid storage structures.A cooling pool in offshore nuclear power plant was taken as the research object in this thesis,and a set of optimization design process for liquid storage structure was designed based on fluid-solid coupling analysis method and response surface method.The results show that the optimization method of water storage structure based on response surface model and response surface method can effectively overcome the shortcomings the limitations of experience dependence and obtain most efficient solutions for the problem,and provide design reference and solutions for other complex model design optimization problems.The Thesis research work include:1)A fluid-structure coupling calculation model of cooling pool was constructed,and the fluid-structure coupling analysis of cooling pool structure was carried out by using the transient analysis module and CFX module calculation under Workbench.The gas-liquid distribution,pressure distribution,deformation and equivalent stress distribution of spent fuel pool structure under different liquid depths and operating conditions were obtained.Finally,5 m liquid depth and 1 g longitudinal impact load were selected as the calculation conditions before optimization.2)SpaceClaim was used to establish a parametric driving model with the aperture of the anti-wave board,the thickness of the anti-wave board and the wall thickness of the pool were taken as design variables.Based on bidirectional fluid-solid coupling analysis,27 sets of experimental design points were generated by Latin hypercube sampling.Finally,the response surface model of the pool structure with high accuracy was fitted,and the implicit relationship between the design parameters and the comprehensive performance of the cooling pool was visible.3)Ten sets of Pareto solutions of cooling pool structure were generated by multi-objective genetic algorithm,and a Pareto was selected as the final optimization result after comprehensive screening.After optimization,the weight of the structurewas reduced by 16.4% while the structure of the pool was controlled to exceed the allowable strength of the material,and the increment of maximum equivalent stress and maximum deformation were relatively small.Finally,the optimized parameters were verified by numerical calculation,which proved the reliability of the analysis results.