Flow-induced sound and vibrations with applications to pipeline safety and mitigation of ocean noise pollution

流动引起的振动和噪声（FIVN）是各种涉及内部和外部流动的工程系统中的重要问题。例如，它们可能导致用于输送流体的管道振动和疲劳失效。此外，由于商业航运活动的加剧和公众对其对环境影响的认识的提高，海洋船舶的噪音污染正在成为海洋工业、认证组织和公众关注的主要问题。在存在多相流的情况下，准确地预测流场是一项艰巨的挑战。特别是，空化现象，即在液体流动中形成蒸汽泡，导致极高水平的辐射噪声。气蚀通常发生在管道控制阀和船舶螺旋桨的非设计操作中。该方案将解决提高空化噪声模型保真度的关键问题，同时将相关的计算成本降至最低。我们的研究小组将采用实验和计算相结合的方法，辅以理论建模来研究声音产生的基本机制。通过求解非定常reynolds -average Navier-Stokes方程来模拟多相流体的流动。液滴或气泡的形成将通过求解相应相的概率分布函数方程来模拟。此外，在选定的情况下，将采用大涡模拟（LES）方法。粒子图像测速技术（PIV）将用于物理实验中速度场的测量。该结果与声压测量相结合，将提供对声源结构的深入了解。我在声耦合流动领域有丰富的经验。此外，我们与空化噪声测量（热那亚大学）和环境声学监测（JASCO应用科学有限公司）领域的领导者合作，将在推进基础知识和实际应用方面做出重大贡献。除了改进目前用于被动声学监测的统计分析平台外，利用世界上最大的船舶噪声测量数据库（目前包含7000多艘船舶）验证开发的数学模型的能力使我们的研究小组在该领域取得了根本性的突破。在FIV控制和减轻海洋噪声污染领域培训高素质人员对加拿大具有战略重要性。在拟建项目的过程中，我将为9名研究生提供培训，这将对该领域产生长期影响。

Flow-induced vibrations and noise (FIVN) are important issues in a variety of engineering systems involving both internal and external flows. For example, they can lead to vibrations and fatigue failure of pipelines that are used for transporting fluids. Also, acoustic noise pollution from marine vessels is emerging as a major concern for the marine industry, certification organizations and the general public due to the intensified commercial shipping activity and increased public awareness of its impact on the environment. Accurate prediction of the FIVN presents a formidable challenge in the presence of multiphase flows. In particular, the cavitation phenomenon, i.e. formation of vapor bubbles in a liquid flow leads to extremely high levels of radiated noise. Cavitation commonly occurs in control valves in pipelines and during off-design operation of marine propellers. The proposed program will address the key issue of increasing fidelity of the cavitation noise models while minimizing the associated computational costs. Our research group will investigate the fundamental mechanisms of sound generation using a combined experimental and computational approach, complemented by theoretical modeling. Multiphase fluid flow will be simulated by solving the unsteady Reynolds-averaged Navier-Stokes equations. Formation of liquid droplets or gas bubbles will be modeled by solving an equation for the probability distribution function for the corresponding phase. In addition, a large eddy simulation (LES) approach will be employed in selected cases. Particle image velocimetry (PIV) will be used to measure velocity fields in physical experiments. The results, in conjunction with acoustic pressure measurements, will provide insight into the structure of the acoustic sources. I have extensive experience in the field of acoustically-coupled flows. Moreover, our collaborations with the leaders in the field of cavitation noise measurements (University of Genoa) and environmental acoustic monitoring (JASCO Applied Sciences Ltd.) will enable significant contributions both in terms of advancing fundamental knowledge and its practical application. In addition to improving the statistical analysis platform presently employed for passive acoustic monitoring, the ability to validate the developed mathematical models using the largest database of ship noise measurements in the world (presently containing over 7000 vessels) uniquely positions our research group for making a fundamental breakthrough in the field. Training of highly-qualified personnel (HQP) in the area of FIV control and mitigation of ocean noise pollution is of strategic importance to Canada. In the course of the proposed program, I will provide training to nine graduate students, which will lead to long-term impact in this field.