Deep Neural Network-Based Prediction of Flow-Induced Noise Around Cylindrical Bodies

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Библиографические подробности
Опубликовано в::	Journal of Marine Science and Engineering vol. 13, no. 11 (2025), p. 2161-2175
Главный автор:	Kim, Minjoon
Другие авторы:	Im-jun, Ban, Sung-chul, Shin
Опубликовано:	MDPI AG
Предметы:	Hydrodynamics Datasets Fluid dynamics Artificial neural networks Sound pressure Signal processing Polar coordinates Fluid flow Pressure Pressure distribution Computer applications Design Cylindrical structures Turbulence models Simulation Fourier transforms Coordinate systems Root-mean-square errors Cylindrical bodies Computational efficiency Geometry Noise Detached eddy simulation Time dependence Turbulence Accuracy Flow velocity Noise prediction Spatial discrimination Pressure dependence Cylinders Inflow Predictions Spatial resolution Neural networks Variables Computing costs Noise generation Computational fluid dynamics Acoustics Environmental
Online-ссылка:	Citation/Abstract Full Text + Graphics Full Text - PDF
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