Computational prediction of underwater radiated noise of cavitating marine propellers: On the accuracy of semi-empirical models

被引:2
|
作者
Kalikatzarakis, Miltiadis [1 ]
Coraddu, Andrea [1 ,2 ]
Atlar, Mehmet [1 ]
Gaggero, Stefano [4 ]
Tani, Giorgio [4 ]
Villa, Diego [4 ]
Oneto, Luca [3 ]
机构
[1] Univ Strathclyde, Dept Naval Architecture Ocean & Marine Engn, Glasgow, Lanark, Scotland
[2] Delft Univ Technol, Dept Maritime & Transport Technol, Delft, Netherlands
[3] Univ Genoa, Polytech Sch, DITEN, Genoa, Italy
[4] Univ Genoa, DIBRIS, Genoa, Italy
关键词
Underwater radiated noise; Semi-empirical model; Marine propeller; Cavitation; Validation test; Tip-vortex cavitation; Sheet cavitation; HYDROACOUSTIC ANALYSIS; ACOUSTIC ANALOGY; EDDY SIMULATION; RESEARCH VESSEL; OPTIMIZATION; VALIDATION; DESIGN; SHIP; FLOW; VERIFICATION;
D O I
10.1016/j.oceaneng.2022.111477
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The potential impact of underwater radiated noise from maritime operations on marine fauna has become an important issue. The most dominant noise source on a propeller-driven vessel is propeller cavitation, producing both structure-borne and radiated noise, with a broad spectrum that covers a wide range of frequencies. To ensure acceptable noise levels for sustainable shipping, accurate prediction of the noise signature is essential, and procedures able to provide a reliable estimate of propeller cavitation noise are becoming a fundamental tool of the design process. In this work, we investigate the potential of using computationally cheap methods for the prediction of underwater radiated noise from cavitating marine propellers. We compare computational and experimental results on a subset of the Meridian standard propeller series, behind different severities of axial wake, for a total of 432 experiments. The results indicate that the approaches employed can be a convenient solution for noise analysis during the design process.
引用
收藏
页数:16
相关论文
共 50 条
  • [11] Performance prediction of a reciprocating piston expander with semi-empirical models
    Bianchi, M.
    Branchini, L.
    De Pascale, A.
    Melino, F.
    Ottaviano, S.
    Peretto, A.
    Torricelli, N.
    [J]. INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 : 1737 - 1743
  • [12] Semi-Empirical Methods Prediction Noise from Free Supersonic Jets
    Li, Ai-qin
    [J]. MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 281 - 284
  • [13] A semi-empirical prediction method for the fine scale turbulence mixing noise
    Tsinghua University, Beijing
    100084, China
    不详
    100191, China
    [J]. Aeroacoustics Conf., 1600,
  • [14] COMPARISON OF ANALYTICAL SEMI-EMPIRICAL MODEL FOR JET-NOISE PREDICTION
    CIRA-Italian Aerospace Research Centre, CE, Capua
    81043, Italy
    [J]. Congr. Int. Counc. Aeronaut. Sci., ICAS, 1600, (5021-5033):
  • [15] Comparison of Semi-Empirical Noise Models with Flyover Measurements of Operating Aircraft
    Vieira, Ana
    von den Hoff, Bieke
    Snellen, Mirjam
    Simons, Dick G.
    [J]. JOURNAL OF AIRCRAFT, 2022, 59 (06): : 1574 - 1587
  • [16] Time domain broadband noise predictions for non-cavitating marine propellers with wall pressure spectrum models
    Choi, Woen-Sug
    Hong, Suk-Yoon
    Song, Jee-Hun
    Kwon, Hyun-Wung
    Park, Il-Ryong
    Seol, Han-Shin
    Kim, Min-Jae
    [J]. INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING, 2021, 13 : 75 - 85
  • [17] Survey of Semi-Empirical Jet Noise Models for Preliminary Aircraft Engine Design
    Petrosino, Francesco
    Barbarino, Mattia
    [J]. AEROSPACE, 2023, 10 (07)
  • [18] Prediction of the burst pressure for defective pipelines using different semi-empirical models
    Budhe, S.
    Banea, M. D.
    de Barros, S.
    [J]. FRATTURA ED INTEGRITA STRUTTURALE, 2020, 14 (52): : 137 - 147
  • [19] IC yield prediction and analysis using semi-empirical yield models and test data
    Ciplickas, D
    Niewczas, M
    Rühl, R
    Stine, B
    Vallishayee, R
    Wojciak, W
    [J]. DESIGN, PROCESS INTEGRATION, AND CHARACTERIZATION FOR MICROELECTRONICS, 2002, 4692 : 345 - 351
  • [20] Displacement thickness evaluation for semi-empirical airfoil trailing-edge noise prediction model
    Saab, Joseph Y., Jr.
    Pimenta, Marcos de Mattos
    [J]. JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2016, 38 (02) : 385 - 394