Analysis and Modelling on Radiated Noise of a Typical Fishing Boat Measured in Shallow Water Inspired by AQUO Project’s Model
Analysis and Modelling on Radiated Noise of a Typical Fishing Boat Measured in Shallow Water Inspired by AQUO Project’s Model
复制标题
受 AQUO 项目模型启发，对浅水中测量的典型渔船辐射噪声进行分析和建模
DOI：
10.24425/122374
复制
发表时间：
2018-01
影响因子：
0.9
通讯作者：
王斌
中科院分区：
文献类型：
--
作者：
彭子龙;范军;王斌
航道和港口附近的船舶噪声是环境噪声的重要组成部分，这些场地的深度通常小于100 m。然而，对浅水环境中的测量关注较少（Brooker，Humphrey，2016）。本文介绍了在南海87 m水深对一艘小型渔船的水下辐射噪声进行的广泛测量。URN数据表明，30 Hz以下的噪声主要是由背景噪声。根据现场实际环境参数，采用有限元法和光线追迹法对传输损耗进行建模。模拟结果与简单定律计算结果之间的差异表明，对于浅水区，海面和海底对热释光都有显著影响，特别是在低频区。受AQUO（Achieve QUieter Oceans）项目（Audoly，Enrico，2015）建模方法的启发，建立了一个应用于典型渔船的预测模型，该模型表明，频率低于和高于100 Hz的URN分别由非空泡螺旋桨噪声和机械噪声主导。预测结果与实测结果的一致性也表明了该建模方法的有效性。
The shipping noise near channels and ports is an important contribution to the ambient noise level, and the depth of these sites is often less than 100 m. However less attention has been paid to the measurement in shallow water environments (Brooker, Humphrey, 2016). This paper presents extensive measurements made on the URN (underwater radiated noise) of a small fishing boat in the South China Sea with 87 m depth. The URN data showed that the noise below 30 Hz was dominated by the background noise. The transmission loss (TL) was modelled with FEM (finite element method) and ray tracing according to the realistic environmental parameters in situ. The discrepancy between the modelled results and the results using simple law demonstrates both sea surface and bottom have significant effect on TL for the shallow water, especially at low frequencies. Inspired by the modelling methodology in AQUO (Achieve QUieter Oceans) project (Audoly, Enrico, 2015), a predicted model applied to a typical fishing boat was built, which showed that the URN at frequencies below and above 100 Hz was dominated by non-cavitation propeller noise and mechanical noise, respectively. The agreement between predicted results and measured results also demonstrates that this modelling methodology is effective to some extent.
登录
查看更多内容
影响因子：
4.7
作者：
D. E. Weston
通讯作者：
D. E. Weston
影响因子：
0.4
作者：
Wittekind, Dietrich Kurt
通讯作者：
Wittekind, Dietrich Kurt
影响因子：
2.4
作者：
Stian Coward;D. Tollefsen;Hefeng Dong
通讯作者：
Stian Coward;D. Tollefsen;Hefeng Dong
DOI：
10.1109/oceans-genova.2015.7271381
发表时间：
2015-05
期刊：
OCEANS 2015 - Genova
影响因子：
--
作者：
C. Audoly;Céline Rousset;E. Rizzuto;Raúl Salinas Mullor;J. Hallander;Eric Baudin
通讯作者：
C. Audoly;Céline Rousset;E. Rizzuto;Raúl Salinas Mullor;J. Hallander;Eric Baudin
影响因子：
2.4
作者：
HAMILTON, EL
通讯作者：
HAMILTON, EL