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Updated: May 27, 2026

Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System
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Measuring and modeling the bubble population produced by an underwater explosion.

Fred D Holt1, R Lee Culver

  • 1Graduate Program in Acoustics and Applied Research Laboratory, The Pennsylvania State University, P.O. Box 30, State College, Pennsylvania 16804, USA. fdh109@psu.edu

The Journal of the Acoustical Society of America
|November 18, 2011
PubMed
Summary

This study investigates the acoustic properties of bubble clouds from underwater explosions, revealing key insights into their less-studied post-detonation behavior and developing a predictive model for bubble populations.

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Area of Science:

  • Underwater acoustics
  • Explosion dynamics
  • Fluid mechanics

Background:

  • Historical research on underwater explosions (since 1941) focused on initial shockwaves and gas-globe oscillations.
  • The phenomena following gas-globe surface break-up, specifically bubble clouds, remain understudied.
  • Understanding bubble cloud acoustics is crucial for characterizing post-detonation underwater environments.

Purpose of the Study:

  • To experimentally measure the acoustic response of an underwater explosion's bubble cloud.
  • To develop a model for estimating bubble population based on acoustic measurements.
  • To enhance the understanding of phenomena occurring after the primary shockwave of an underwater explosion.

Main Methods:

  • Detonation of a 13.6 kg PBXN-111 charge at 15.2 m depth.
  • Propagation of acoustic pulses (linear frequency-modulated and tonal) through the resulting bubble cloud.
  • Measurement of acoustic energy loss using two hydrophone arrays.
  • Application of three inversion methods to estimate bubble population.

Main Results:

  • Quantified the spatial and temporal acoustic response of the bubble cloud.
  • Successfully estimated bubble population using acoustic inversion techniques.
  • Provided data for the development of a bubble population model.

Conclusions:

  • The study successfully characterized the acoustic signature of underwater explosion bubble clouds.
  • Developed a novel method for modeling bubble populations, improving post-detonation analysis.
  • Highlights the importance of studying the less-understood later stages of underwater explosions.