水下自主航行器舷侧自噪声分布特性数值与试验研究

邓磊磊; 石海泉; 时胜国

doi:10.11990/jheu.202506051

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水下自主航行器舷侧自噪声分布特性数值与试验研究

论文 | 更新时间：2026-03-31

- 水下自主航行器舷侧自噪声分布特性数值与试验研究
- Numerical and experimental research on the distribution characteristics of self-noise on the flank of an AUV
- 哈尔滨工程大学学报 2025年46卷第8期页码：1669-1677
- 作者机构：
  
  1.哈尔滨工程大学水声技术全国重点实验室，黑龙江哈尔滨 150001
  2.海洋信息获取与安全工信部重点实验室工业和信息化部(哈尔滨工程大学) 工业和信息化部，黑龙江哈尔滨 150001
  3.哈尔滨工程大学水声工程学院，黑龙江哈尔滨 150001
  4.昆明船舶设备研究试验中心，云南昆明 650101
- 作者简介：
  
  [ "邓磊磊, 男, 研究员, 博士研究生" ]
  [ "时胜国, 男, 教授, 博士生导师" ]
- 基金信息：
  
  技术领域基金项目(2021-JCJQ-JJ-0752);重点实验室基金项目(JCKYS2023604SSJS006)
- DOI：10.11990/jheu.202506051
  中图分类号： TN911.72
- 收稿：2025-06-23，
  
  网络首发：2025-07-01，
  
  纸质出版：2025-08-05
- 稿件说明：
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邓磊磊, 石海泉, 时胜国. 水下自主航行器舷侧自噪声分布特性数值与试验研究[J]. 哈尔滨工程大学学报, 2025,46(8):1669-1677.

Leilei DENG, Haiquan SHI, Shengguo SHI. Numerical and experimental research on the distribution characteristics of self-noise on the flank of an AUV[J]. Journal of Harbin Engineering University, 2025, 46(8): 1669-1677.
邓磊磊, 石海泉, 时胜国. 水下自主航行器舷侧自噪声分布特性数值与试验研究[J]. 哈尔滨工程大学学报, 2025,46(8):1669-1677. DOI： 10.11990/jheu.202506051.

Leilei DENG, Haiquan SHI, Shengguo SHI. Numerical and experimental research on the distribution characteristics of self-noise on the flank of an AUV[J]. Journal of Harbin Engineering University, 2025, 46(8): 1669-1677. DOI： 10.11990/jheu.202506051.

摘要

针对水下自主航行器舷侧阵声呐设计中对舷侧自噪声特性认识不清的问题，本文首先开展了水下自主航行器振动噪声和流噪声的数值预报方法研究，采用ANSYS有限元软件对中等航速下水下自主航行器壳体振动响应进行数值计算，并采用Fluent软件对壳体表面流场分布特性进行了数值分析。然后，对17 kn航速下水下自主航行器振动噪声、流噪声和自噪声湖上试验数据进行处理，分析了该航速下振动噪声和流噪声在不同舷侧位置处的谱特性及其对水下自主航行器自噪声的贡献大小。试验数据分析结果表明: 中等航速下水下自主航行器舷侧自噪声特性在空间上存在差异，低频自噪声成分主要是由机械振动产生的，而中高频自噪声成分则主要来源于流噪声。本文结果可指导舷侧基阵安装与噪声抑制等舷侧阵声呐设计。

Abstract

Considering the lack of a clear understanding of self-noise in the design of the autonomous underwater vehicle (AUV) flank array sonar

numerical prediction methods for AUV vibration noise and flow-induced noise were introduced at first. The vibration response of the shell was examined by computer simulation analyses using the finite element software ANSYS. The distribution characteristics of the surface flow field at medium speed were analyzed by using Fluent. Subsequently

the test data of AUV vibration noise

flow-induced noise

and self-noise on the lake at a speed of 17 knots were processed. The spectral characteristic manifestations of vibration noise and flow-induced noise at different positions of the flank and their contribution to the AUV self-noise were analyzed. The result of data analysis showed that the low-frequency component of AUV self-noise was mainly generated by mechanical vibration

and the middle- and high-frequency components originated from the flow-induced noise. The result of this study can guide the installation of the flank array and sonar design for noise suppression.

关键词

Keywords

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