Simplex based three-dimensional eigenray search for underwater predictions.

Area of Science:

• Acoustics
• Computational Physics
• Wave Propagation

Background:

• Accurate modeling of underwater acoustic propagation is crucial for sonar and communication systems.
• Traditional methods for calculating three-dimensional (3D) eigenrays can be computationally intensive.
• Understanding wave propagation in complex environments like wedge waveguides is challenging.

Purpose of the Study:

• To investigate a novel solution for calculating 3D eigenrays using Simplex optimization.
• To validate the efficiency and accuracy of this method in a 3D Gaussian beam model.
• To assess its performance in predicting acoustic propagation patterns in a wedge waveguide.

Main Methods:

• Implementation of a Simplex optimization algorithm for 3D eigenray calculation.
• Utilizing a 3D Gaussian beam model for wave propagation simulation.
• Validation through comparison with a 2D waveguide model and experimental data from Sturm and Korakas (2013).

Main Results:

• The Simplex optimization strategy efficiently and accurately calculates 3D eigenrays.
• Predictions of arrival patterns, including mode shadow zones and interference, closely matched experimental observations.
• Accurate initial eigenray elevation and azimuth values were obtained, crucial for hydrophone location accuracy.

Conclusions:

• Simplex optimization provides an effective and accurate solution for 3D eigenray calculations in acoustic modeling.
• The method demonstrates strong predictive capabilities for complex propagation phenomena in wedge waveguides.
• This approach enhances the accuracy of underwater acoustic simulations and predictions.