声呐透声窗结构的减振降噪优化设计

Optimized Design for Vibration and Noise Reduction of Sonar Transmissive Window Structure

随着对声呐透声窗结构综合性能提升需求的日益增长,有效结合优化设计方法达到减振降噪目的是透声窗结构设计的重点研究领域之一。采用遗传算法对声呐透声窗结构的减振降噪开展多目标优化;基于Sobol法利用最优拉丁超立方技术对透声窗结构进行灵敏度分析,辨识关键因子,确定优化设计变量,建立透声窗结构多目标优化模型及方法,并对该方法进行鲁棒性验证;基于NSGA-Ⅱ法对该多目标问题进行求解得到优化结果,并和传统透声窗模型进行流激振动对比。结果表明:在减小结构质量的基础上,结构表面均方振速大幅降低,减振降噪效果得到显著提升,实现了对声呐透声窗低振动和轻量化的设计目标。

With the increasing demand for comprehensive performance of sonar transmissive window structures,the effective combination of optimization design methods to achieve vibration and noise reduction is one of the critical research areas in the design of transmissive window structures.In this paper,the NSGA-II algorithm is used to carry out the multi-objective optimization of the sonar transmissive window structure for vibration and noise reduction.Global sensitivity analysis of transmissive window structures using the Optimal Latin Hypercube technique.Identify key factors,determine multi-objective optimization design variables,and establish multi-objective optimization models and methods for sonar window sandwich structures.The robustness of the method is verified.The NSGA-II method is used to solve this multi-objective problem.The optimization results show that the vibration acceleration of the structure has been significantly reduced,and the vibration and noise reduction effect has been significantly improved,achieving the design goal of low vibration and light weight of the sonar window.Design ideas and technical support are proposed for the vibration and noise reduction of sonar transmissive window sandwich structure.