Prediction Method of the Low-Frequency Multistatic Scattering Sound Field for Underwater Spherical Targets Based on Limited Data

被引:0
|
作者
Chen, Changxiong [1 ]
Peng, Zilong [1 ]
Song, Hao [2 ]
Xue, Yaqiang [1 ]
Zhou, Fulin [3 ]
机构
[1] School ol Energy and Power Engineering, Jiangsu University of Science and Technology, Jiangsu, Zhenjiang,212100, China
[2] Systems Engineering Research Institute, Beijing,100094, China
[3] State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai,200240, China
关键词
Acoustic field measurement - Acoustic wave scattering - Finite element method - Forecasting - Least squares approximations - Linear transformations - Metadata - Numerical methods - Shells (structures) - Spheres - Transfer functions - Underwater acoustics;
D O I
10.16183/j.cnki.jsjtu.2022.463
中图分类号
学科分类号
摘要
A prediction method based on the information data of finite scattering acoustic pressure is proposed for the prediction of underwater spherical target multistatic acoustic scattering sound field, which represents the scattering sound field as the product of the acoustic scattering transfer function and the source density function, obtains the acoustic scattering transfer function by numerical integration with the model surface grid information as input, and acquires the source density function by combining acoustic reciprocity, least squares, and matrix transformation with small amount of known scattered sound pressure data as input. The multistatic scattering sound field prediction method is validated by using the Raylcigh normal mode solution and the finite element method (FEM) for double-layered spherical shells and spherical shell with the stiffener. The target strength experiment is conducted for the spherical shell with the stiffener, and the experiment results are compared with the finite element calculations. Several test data and FEM calculation results data are used as input to predict the multistatic scattering sound field of the spherical shell with stiffener and compared with the FEM results, respectively. It is found that the simulation and test results are in good agreement, which verifies the feasibility of the prediction method. © 2024 Shanghai Jiaotong University. All rights reserved.
引用
收藏
页码:1006 / 1017
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