摘要
[目的]为充分发挥串联多球组合壳结构的工作性能,针对其声振性能开展优化设计研究。[方法]首先,建立有限元模型,计算分析水下串联多球组合壳的水下声辐射特性;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,随后采用径向基函数(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,使用粒子群优化(PSO)算法对模型水下辐射噪声进行优化,并通过有限元方法进行验证;最后,开展水下声辐射实验,并将试验测试值与仿真值进行对比,以证明仿真结果的准确性。[结果]结果显示,经优化,垂向激励下串联多球组合壳的水下辐射声功率总级降低了2.92 dB,质量降低了0.061 t。[结论]所做研究可为结构低噪声优化设计方法提供新的思路。
[Objective]To maximizing the working performance of the series-connected multi-sphere com-posite shell structure,an optimization design study has been conducted to enhance its acoustic and vibration performance.[Methods]First,a finite element model was developed to calculate and analyze the underwa-ter acoustic radiation characteristics.Then,using the model's mass as the constraint condition and the radi-ation noise under vertical excitation as the optimization objective,a uniform experimental design was de-veloped using the geometric parameters of the connecting structure as the design variables.The radial basis function(RBF)neural network was used to establish a multidimensional mapping model between the design variables and the optimization objective.The particle swarm optimization(PSO)algorithm was employed to optimize the underwater radiation noise of the model,and the results were verified through the finite element method.Finally,underwater acoustic radiation experiments were carried out,and the experimental test values were compared with the simulation values to validate the accuracy of the simulation results.[Results]The results show that after optimization,the total underwater radiation sound power level of the series-connected multi-sphere composite shell under vertical excitation was reduced by 2.92 dB,while the mass was decreased by 0.061 t.[Conclusion]The research provides new insights into the optimization of low-noise structural design methods.
作者
李贺帆
张冠军
柯昱照
LI Hefan;ZHANG Guanjun;KE Yuzhao(School of Naval Architecture,Ocean and Energy Power Engineering,Wuhan University of Technology,Wuhan 430063,China;Key Laboratory of High Performance Ship Technology(Wuhan University of Technology),Ministry of Education,Wuhan 430063,China)
出处
《中国舰船研究》
北大核心
2025年第3期118-124,共7页
Chinese Journal of Ship Research
基金
船舶振动噪声重点实验室基金资助项目(6142204210208)
国家自然科学基金资助项目(51909201,52241102)。
关键词
壳体
球形壳体
组合壳
径向基函数神经网络
粒子群优化
噪声
设计优化
噪声优化
shell(structure)
spherical shell
composite shell
radial basis function(RBF)neural net-works
particle swarm optimization(PSO)
noise
design optimization
noise optimization
