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Acta Armamentarii ›› 2022, Vol. 43 ›› Issue (11): 2875-2884.doi: 10.12382/bgxb.2021.0602

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Optimization Design for Multiple Openings Pressure Structure of Manned Submersible Based on an Improved NSGA-Ⅱ Algorithm

TIAN Zhen1, LIU Feng1, WANG Meng1, CHEN Shupei1, LI Jielong2, ZHAO Yankai1   

  1. (1.College of Shipbuilding Engineering,Harbin Engineering University,Harbin 150001,Heilongjiang,China;2.Yantai Research Institute and Graduate School,Harbin Engineering University,Yantai 264000,Shandong,China)
  • Online:2022-05-22

Abstract: To improve the performance and design efficiency of manned submersible pressure structure,the improvement of optimization model and optimization algorithm is carried out. The mesh-independent analysis of the finite element model of the pressure structure is carried out,the parametric analysis of the pressure structure is realized by integrating ABAQUS with iSight software,the sensitivity analysis of the design variables and the dimensionality reduction process are carried out to reduce the difficulty of the problem analysis. the sample points are selected by using the optimal Latin hypercube method,and the parametric analysis of the sample points is carried out. Based on the typical approximation model to fit the sample points,the approximation model with the highest fitting accuracy and meeting the engineering needs is selected as the alternative model for the pressure structure,and a multi-objective optimization model for the pressure structure is established. The improved algorithm INSGA-Ⅱ of NSGA-Ⅱ is obtained by combining the normal distribution crossover operator to improve the second generation non-dominated sorting genetic algorithm (NSGA-Ⅱ) to improve the problems such as local convergence of NSGA-Ⅱ, and the multi-objective optimization solution of the pressure structure is carried out using INSGA-Ⅱ on the basis of validation of the effectiveness of INSGA-Ⅱ by using test functions. The results show that the parametric analysis method and the high-precision approximation model can balance the conflicts between computational accuracy and design efficiency. In the test comparison,the Pareto solution set obtained by INSGA-Ⅱ is better than NSGA-Ⅱ in terms of closeness,uniformity and convergence,and the multi-objective optimization scheme for pressure-resistant structures obtained by INSGA-Ⅱ is better than NSGA-Ⅱ.

Key words: mannedsubmersible, pressurestructure, parametricanalysis, approximatemodel, normaldistributioncrossoveroperator, multi-objectiveoptimization

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