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Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

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Three-dimensional acoustic vector field model using Gaussian beam tracing.

Yuchen Chen¹, Minghui Zhang¹, Lijia Gong¹

¹National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, Chinachenyuchen@hrbeu.edu.cn; zhangminghui@hrbeu.edu.cn; Lijia.gong@hrbeu.edu.cn.

JASA Express Letters

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Summary

This summary is machine-generated.

A novel 3D acoustic model using Gaussian beam tracing accurately predicts deep-sea sound propagation. This method effectively models particle velocity and sound pressure fields in long-range underwater acoustics.

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Area of Science:

Ocean Acoustics
Underwater Sound Propagation
Computational Physics

Background:

Accurate modeling of underwater sound propagation is crucial for various applications, including sonar and marine resource exploration.
Traditional acoustic models often face challenges in accurately representing complex deep-sea environments and long-range sound transmission.
Vector hydrophones provide richer acoustic information, including particle velocity, which is essential for a comprehensive understanding of sound fields.

Purpose of the Study:

To develop and validate a three-dimensional acoustic vector field model for deep-sea sound propagation.
To assess the effectiveness of Gaussian beam tracing as a computational method for predicting acoustic fields.
To compare model predictions with experimental measurements from a real-world deep-sea environment.

Main Methods:

Developed a three-dimensional acoustic vector field model utilizing Gaussian beam tracing.
Computed the acoustic field by coherently summing contributions from individual Gaussian beams.
Analyzed a deep-sea long-range sound propagation experiment in the South China Sea using vector hydrophone data (particle velocity and sound pressure).

Main Results:

The Gaussian beam tracing model successfully computed the acoustic vector field based on beam width and eikonal.
Model predictions showed good agreement with experimental measurements of sound pressure and particle velocity.
The study confirmed the effectiveness of the beam tracing approach for predicting acoustic fields in deep water.

Conclusions:

Gaussian beam tracing provides an effective and accurate method for modeling three-dimensional acoustic vector fields in deep-sea environments.
The developed model demonstrates significant potential for enhancing the understanding and prediction of long-range underwater sound propagation.
Vector hydrophone measurements are vital for validating complex acoustic propagation models.