Robotics & Machine Learning Daily News2024,Issue(Sep.20) :25-25.

Studies from Harbin Engineering University Have Provided New Data on Machine Lea rning (Experimental and Simulation Study on Flow-Induced Vibration of Underwater Vehicle)

Robotics & Machine Learning Daily News2024,Issue(Sep.20) :25-25.

Studies from Harbin Engineering University Have Provided New Data on Machine Lea rning (Experimental and Simulation Study on Flow-Induced Vibration of Underwater Vehicle)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting originating from Harbin, People’s Republic of China, by NewsRx correspondents, research stated, “At high speeds, flow-induced vibration noise is the main component of underwater vehicl e noise. The turbulent fluctuating pressure is the main excitation source of thi s noise.” Financial supporters for this research include National Natural Science Foundati on of China. Our news correspondents obtained a quote from the research from Harbin Engineeri ng University: “It can cause vibration of the underwater vehicle’s shell and eve ntually radiate noise outward. Therefore, by reducing the turbulent pressure flu ctuation or controlling the vibration of the underwater vehicle’s shell, the rad iation noise of the underwater vehicle can be effectively reduced. This study de signs a conecolumn- sphere composite structure. Firstly, the effect of fluid-str ucture coupling on pulsating pressure is studied. Next, a machine learning metho d is used to predict the turbulent pressure fluctuations and the fluid-induced v ibration response of the structure at different speeds. The results were compare d with experimental and numerical simulation results. The results show that the deformation of the structure will affect the flow field distribution and pulsati ng pressure of the cylindrical section.”

Key words

Harbin Engineering University/Harbin/P eople’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learnin g

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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