船舶 ›› 2024, Vol. 35 ›› Issue (02): 59-69.DOI: 10.19423/j.cnki.31-1561/u.2024.02.007

• 邮轮专栏 • 上一篇    下一篇

邮轮公共区域空调通风系统噪声预报研究

罗震1, 孙瑶1, 王一飞2   

  1. 1.江苏科技大学 能源与动力学院 镇江 212003;
    2.中船邮轮科技发展有限公司 上海 200137
  • 收稿日期:2023-11-13 修回日期:2024-01-15 出版日期:2024-04-28 发布日期:2024-04-28
  • 作者简介:罗 震(1998-),男,硕士研究生。研究方向:结构振动噪声分析及控制。孙 瑶(1987-),女,博士,副教授。研究方向:结构振动噪声分析及控制。王一飞(1979-),男,博士,高级工程师。研究方向:船舶与海洋结构物结构安全设计。
  • 基金资助:
    国家自然科学基金(51809125); 国家自然科学青年基金(52201397); 江苏省自然科学青年基金项目(BK20200995)

Noise Prediction of Air Conditioning and Ventilation Systems in Public Areas of Cruise Ship

LUO Zhen1, SUN Yao1, WANG Yifei2   

  1. 1. School of Energy and Power Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China;
    2. CSSC Cruise Technology Development Co., Ltd., Shanghai 200137, China
  • Received:2023-11-13 Revised:2024-01-15 Online:2024-04-28 Published:2024-04-28

摘要: 大型豪华邮轮的居住区域范围大且数量多,该区域噪声的准确预报、全局分析和精准控制研究,对于降低豪华邮轮居住区域噪声水平并指导豪华邮轮设计建造具有重要意义。以往虽有关于船舶舱室噪声预报方法和噪声控制措施的相关研究,但多针对居住舱室等小型舱室,且常采用单一方法进行噪声仿真。为对邮轮大型公共区域内由空调通风系统引发的噪声进行快速精细预报,文中开发了经验公式-气动声学-统计能量方法联合预报模型。该模型弥补了经验公式方法采用末端及房间修正的精度限制,实现了对大型空间内复杂空调通风系统引发噪声分布特性的精细仿真,直观呈现了各空调通风系统噪声源造成的影响。在此基础上完成了对大型空间内噪声评估以及针对超限区域的降噪处理。

关键词: 舱室噪声, 经验公式法, 统计能量法, 噪声预报, 公共区域

Abstract: Luxury cruise ships often have large and numerous living areas. The accurate prediction, global analysis, and precise control of the noise of luxury cruise ships are of great significance for reducing the noise level in the living areas of luxury cruise ships and guiding the design and construction of luxury cruise ships. The previous studies on the prediction method and control measures for the noise in ship cabins mostly focused on the small cabins such as accommodation and often used a single method for noise simulation. A joint prediction model combining the empirical formulas, aerodynamic acoustics and statistical energy methods has been developed in order to quickly and accurately predict the noise caused by air conditioning and ventilation systems in large public areas of cruise ships. This model compensates for the accuracy limitations of the empirical formula method using the end and room correction, to achieve the precise simulation of the noise distribution characteristics caused by the complex air conditioning and ventilation systems in large spaces. It intuitively presents the contribution of various ventilation and air conditioning system noise sources to the noise in large spaces. The evaluation of noise in large spaces and noise reduction processing for areas beyond limits is furtherly completed.

Key words: cabin noise, empirical formula method, statistical energy method, noise prediction, public area

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