Noise Directivity Reconstruction Radiated from Unmanned Underwater Vehicle's Propeller Using the Equivalent Source...

Area of Science:

• Acoustics and Noise Control
• Underwater Acoustics
• Computational Fluid Dynamics

Background:

• Predicting noise directivity and long-range sound propagation from complex sources such as unmanned underwater vehicles (UUVs) and aircraft is crucial for practical applications.
• The equivalent source method is a common technique for reconstructing and predicting sound propagation from directional complex volume sources in the far field.
• A significant limitation of the equivalent source method is the arbitrary and often suboptimal selection of elementary source configurations.

Purpose of the Study:

• To develop a systematic and accurate method for selecting elementary source configurations for the equivalent source method.
• To improve the reconstruction of noise directivity patterns from complex acoustic sources.
• To reduce the number of elementary source configurations required for accurate noise prediction.

Main Methods:

• A novel method for selecting elementary source configurations based on correlation coefficients with the directivity function was proposed.
• The proposed method was applied to reconstruct the noise directivity pattern of a real unmanned underwater vehicle (UUV).
• The accuracy and efficiency of the new method were evaluated against traditional approaches.

Main Results:

• The proposed method demonstrated a strong correlation with the directivity function, leading to improved selection of elementary sources.
• Accurate reconstruction of the noise directivity pattern radiated from a real UUV was achieved.
• The method successfully reconstructed complex radiated sound sources with a reduced number of elementary source configurations.

Conclusions:

• The developed method offers a more accurate and efficient approach to selecting elementary source configurations for acoustic modeling.
• This technique enhances the capability to predict noise levels and understand sound propagation from complex sources like UUVs.
• The findings contribute to advancements in acoustic simulation and noise control for various engineering applications.