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Related Concept Videos

Basic Equation for Pressure Field01:13

Basic Equation for Pressure Field

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The basic equation for a pressure field in fluid mechanics captures the balance of forces within any segment of fluid, providing a foundational understanding of how pressure changes within fluids under various forces. Generally, two main types of forces act on any part of a fluid: surface forces and body forces. Surface forces arise from pressure differences across points within the fluid, which result in net forces that can vary depending on the local pressure gradient. Body forces, on the...
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Pressure Variation in a Fluid at Rest01:11

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In a fluid at rest, the pressure at any point beneath the fluid surface depends solely on the depth, not on the container's shape or size. This principle, known as hydrostatic pressure, arises because, in stationary fluids, there is no acceleration, meaning the forces within the fluid balance out. Only vertical forces, caused by the weight of the fluid above, contribute to pressure changes with depth.
When measuring pressure at two different levels within the fluid, the difference in...
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Hydrostatic Pressure Force on a Curved Surface01:04

Hydrostatic Pressure Force on a Curved Surface

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Hydrostatic pressure on curved surfaces is a fundamental concept in fluid mechanics with broad applications in the civil engineering field. When fluid is in contact with a curved surface, as in a reservoir, dam, or storage tank, it exerts pressure that varies in magnitude and direction along the curved surface. To assess the total hydrostatic force exerted by the fluid on a curved structure, engineers typically isolate the fluid volume adjacent to the surface and analyze the forces acting on...
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Fluid Pressure over Curved Plate of Constant Width01:12

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When a curved plate of constant width is submerged in a liquid, the pressure acting normal to the plate varies continuously both in magnitude and direction. Calculating the magnitude and location of the resultant force at a point is often challenging for such cases. One of the methods to determine the resultant force and its location involves separately calculating the horizontal and vertical components of the resultant force. This complex calculation can be simplified by representing the...
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Fluid Pressure01:14

Fluid Pressure

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In mechanical engineering, fluid pressure plays a critical role in designing systems that utilize liquid flow, such as hydraulic systems, pumps, and valves. When designing these systems, engineers must ensure they can withstand the forces created by fluid pressure to avoid damage or failure.
According to Pascal's law, a fluid at rest will generate equal pressure in all directions. This pressure is measured as a force per unit area, and its magnitude depends on the fluid's specific...
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Pressure of Fluids01:14

Pressure of Fluids

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There are many examples of pressure in fluids in everyday life, such as in relation to blood (high or low blood pressure) and in relation to weather (high- and low-pressure weather systems). A given force can have a significantly different effect, depending on the area over which the force is exerted. For instance, a force applied to an area of 1 mm2 has a pressure that is 100 times greater than the same force applied to an area of 1 cm2. That's why a sharp needle is able to poke through...
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  1. Home
  3. Research Domains
  5. Engineering
  7. Maritime Engineering
  9. Ocean Engineering
  11. Predicting Ocean Pressure Field With A Physics-informed Neural Network.
  1. Home
  3. Research Domains
  5. Engineering
  7. Maritime Engineering
  9. Ocean Engineering
  11. Predicting Ocean Pressure Field With A Physics-informed Neural Network.

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Predicting ocean pressure field with a physics-informed neural network.

Seunghyun Yoon1,2, Yongsung Park2, Peter Gerstoft2

  • 1Department of Naval Architecture and Ocean Engineering, Seoul National University, Seoul 08826, Republic of Korea.

The Journal of the Acoustical Society of America
|March 13, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a physics-informed neural network (PINN) for predicting ocean sound pressure fields. By using an envelope function, PINNs effectively model complex acoustic environments with less data.

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Area of Science:

  • Ocean acoustics
  • Machine learning
  • Computational physics

Background:

  • Ocean sound pressure fields are complex and challenging to predict, especially over long ranges.
  • Traditional methods struggle with rapidly fluctuating phases in acoustic data.
  • Accurate sound field prediction is crucial for underwater acoustics and sonar applications.

Purpose of the Study:

  • To develop a novel machine learning strategy for predicting ocean sound pressure fields.
  • To enhance the accuracy and efficiency of acoustic field prediction in complex ocean environments.
  • To leverage physics-informed neural networks (PINNs) for improved data-driven modeling.

Main Methods:

  • Utilizing a physics-informed neural network (PINN) that integrates acoustic data with governing partial differential equations (PDEs).
  • Employing the envelope function from the parabolic-equation technique to handle phase variations.
  • Training the neural network with range-depth data to predict complex acoustic pressure.

    • Main Results:

    • The proposed PINN strategy effectively predicts sound pressure fields in ocean waveguides.
    • The use of the envelope function significantly improves neural network convergence and accuracy.
    • PINNs demonstrate capability in capturing PDE solutions even with limited training data.

    Conclusions:

    • Physics-informed neural networks offer a powerful approach for ocean sound pressure field prediction.
    • Integrating physical laws with machine learning enhances predictive capabilities in complex acoustic environments.
    • The method shows promise for real-world applications, validated by simulations and experimental data.