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船舶噪声管理与 ORCA 级船舶。

Ship noise management and the ORCA class of ships.

机构信息

Defence Research and Development Canada, Atlantic Research Centre, 9 Grove Street, Dartmouth, Nova Scotia B2Y 3Z7, Canada.

出版信息

Mar Pollut Bull. 2022 Jan;174:113196. doi: 10.1016/j.marpolbul.2021.113196. Epub 2021 Dec 9.

DOI:10.1016/j.marpolbul.2021.113196
PMID:34894581
Abstract

To support Transport Canada's projects to reduce underwater noise from shipping, Defence Research and Development Canada performed a series of experiments based on the Royal Canadian Navy's ORCA-Class training vessels. Sea trials measured onboard vibrations and underwater noise to support the development of a real-time prediction of propeller cavitation inception and underwater noise using only onboard sensors and to develop a database for assessing numerical predictions of underwater noise at the design stage. Based on these trials, it was noted that the noise impact of the vessel could be significantly reduced if the propeller cavitation inception speed could be increased. A series of numerical optimizations were conducted and a low-noise design was selected. Scale models of the ship and propellers were constructed and tested in a towing tank and cavitation tunnel. While the numerical predictions (done at full scale) were very promising, the model-scale tests did not bear them out.

摘要

为支持加拿大运输部减少航运水下噪声的项目,加拿大国防研究与发展部基于加拿大皇家海军的 ORCA 级训练舰进行了一系列试验。海上试验测量了船上的振动和水下噪声,以支持仅使用船上传感器实时预测螺旋桨空化起始和水下噪声,并开发一个数据库,用于在设计阶段评估水下噪声的数值预测。基于这些试验,如果能够提高螺旋桨空化起始速度,就可以显著降低船舶的噪声影响。进行了一系列数值优化,并选择了一种低噪声设计。船舶和螺旋桨的缩尺模型在拖曳水池和空化隧道中进行了建造和测试。虽然数值预测(在全尺寸下进行)非常有前景,但模型试验并未证明这一点。

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