水下串联多球组合壳结构低噪声优化设计

Low noise optimization design of underwater series multi sphere composite shell structure

  • 摘要: 【目的】串联多球组合壳结构可作为深海空间站主体结构,为保证其精密测试设备充分发挥工作性能,对水下串联多球组合壳的声振性能开展了优化设计研究。【方法】首先建立其有限元模型,计算分析其水下声辐射特性;然后以模型质量为约束条件,以垂向激励作用下辐射噪声为优化目标,建立以连接结构几何参数为设计变量的均匀试验设计,采用RBF神经网络建立设计变量与优化目标之间的多维映射模型,使用PSO算法对模型水下辐射噪声进行优化,通过有限元方法进行验证;最后开展了水下声辐射实验,将试验测试值与仿真值进行对比,证明了仿真结果的准确性。【结果】经优化,垂向激励下串联多球组合壳水下辐射声功率总级降低2.92dB,质量降低0.061t。【结论】所做研究为结构噪声优化设计方法提供了新的思路。

     

    Abstract: Objectives The series multi ball composite shell structure can be used as the main structure of deep-sea space stations. To ensure the full performance of its precision testing equipment, this paper conducts optimization design research on the acoustic and vibration performance of underwater series multi ball composite shells. Methods Firstly, establish its finite element model, calculate and analyze its underwater acoustic radiation characteristics; Then, with the model quality as the constraint condition and the radiation noise under vertical excitation as the optimization objective, a uniform experimental design is established with the geometric parameters of the connecting structure as the design variables. The RBF(Radial Basis Function) neural network is used to establish a multidimensional mapping model between the design variables and the optimization objective. The PSO(Particle Swarm Optimization) algorithm is used to optimize the underwater radiation noise of the model, and verified through finite element method; Finally, underwater acoustic radiation experiments were conducted, and the experimental test values were compared with the simulation values, proving the accuracy of the simulation results. Results After optimization, the total underwater radiation sound power level of the series multi sphere composite shell under vertical excitation is reduced by 2.92 dB, and the mass is reduced by 0.061 t.Conclusions The research provided new ideas for optimizing structural noise design methods.

     

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