This paper presents an optimal design method for the acoustic stealth shape for a bottom object with relatively lower echo strength (ES), based on the physical acoustics method (PAM) and genetic algorithm (GA). Specifically, the performance of the PAM was evaluated with acoustic scattering from a Manta-like object, using two-dimensional (2D) axisymmetric calculation method. In the optimization method, GA, the object shape represented by the Bernstein polynomial, grid topology acquired by using the MATLAB-COMSOL module and the scattering calculation are combined into a process. The optimization objective function is given as the weighting function of the ES of the bottom object with different grazing angles and frequencies. Finally, the two optimal shapes of the bottom object under different conditions are given, in which the ES and the angle detection rate after optimization are greatly reduced. This optimal method provides guidance for the lower ES shape design of bottom targets.

中文翻译：

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底物声学隐身形状优化设计研究

提出一种基于物理声学方法（PAM）和遗传算法（GA）的低回波强度（ES）底物声隐身形状优化设计方法。具体来说，使用二维 (2D) 轴对称计算方法，通过来自 Manta 类物体的声散射来评估 PAM 的性能。在优化方法中，遗传算法、伯恩斯坦多项式表示的物体形状、使用MATLAB-COMSOL模块获取的网格拓扑和散射计算结合为一个过程。优化目标函数为底部物体在不同掠射角和掠射频率下的 ES 的加权函数。最后给出了不同条件下底部物体的两种最优形状，其中优化后的ES和角度检测率大大降低。这种优化方法为底部目标的低ES形状设计提供了指导。