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Related Concept Videos

Deriving the Speed of Sound in a Liquid01:09

Deriving the Speed of Sound in a Liquid

As with waves on a string, the speed of sound or a mechanical wave in a fluid depends on the fluid's elastic modulus and inertia. The two relevant physical quantities are the bulk modulus and the density of the material. Indeed, it turns out that the relationship between speed and the bulk modulus and density in fluids is the same as that between the speed and the Young's modulus and density in solids.
The speed of sound in fluids can be derived by considering a mechanical wave propagating...

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Image-based Lagrangian Particle Tracking in Bed-load Experiments
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Range dependent sediment sound speed profile measurements using the image source method.

S Pinson1, L Guillon, C W Holland

  • 1Institut de Recherche de l'Ecole Navale, BCRM Brest, CC 600, F-29240 Brest Cedex 9, France. samuelpinson@yahoo.fr

The Journal of the Acoustical Society of America
|July 19, 2013
PubMed
Summary
This summary is machine-generated.

The image source method accurately maps seabed stratigraphy by analyzing seafloor-reflected acoustic waves. This technique provides range and depth-dependent sediment sound speed profiles for underwater acoustic studies.

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Area of Science:

  • Oceanography
  • Acoustics
  • Geophysics

Background:

  • Accurate measurement of sediment sound speed profiles is crucial for understanding seafloor acoustic properties.
  • Traditional methods may not fully capture the complex range and depth-dependent variations in seabed structures.

Purpose of the Study:

  • To present a novel application of the image source method for measuring range-dependent sediment sound speed profiles.
  • To demonstrate the capability of this technique in mapping seabed stratigraphy.

Main Methods:

  • Utilizing acoustic data acquired by an autonomous undersea vehicle during the Clutter09 experiment.
  • Analyzing seafloor-reflected acoustic waves as image sources to determine sediment properties.
  • Employing a moving horizontal array to obtain successive sound speed profiles and recover array shape.

Main Results:

  • Successfully obtained range-dependent sediment sound speed profiles.
  • Demonstrated accurate mapping of seabed stratigraphy by comparing results with seismic data.
  • Validated the effectiveness of the image source method in characterizing seafloor structures.

Conclusions:

  • The image source method is a viable technique for measuring range-dependent sediment sound speed profiles.
  • This method provides valuable insights into the range and depth-dependent structure of the seafloor.
  • The findings support the use of acoustic methods for detailed seabed characterization.