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Related Experiment Videos

Development and interactions of two inert gas bubbles during decompression

Y Jiang1, L D Homer, E D Thalmann

  • 1Naval Medical Research Institute, National Naval Medical Center, Bethesda, Maryland 20889-5607, USA.

Undersea & Hyperbaric Medicine : Journal of the Undersea and Hyperbaric Medical Society, Inc
|September 1, 1996
PubMed
Summary

Mathematical modeling reveals that closely spaced inert gas bubbles in tissue dissolve slower and have reduced surface flux compared to single bubbles. Bubble interactions significantly influence their evolution, especially when bubbles are near each other.

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Area of Science:

  • Biophysics
  • Mathematical Biology
  • Physiology

Background:

  • Decompression sickness involves inert gas bubble formation in tissues.
  • Understanding bubble dynamics is crucial for predicting decompression risks.
  • Previous models often simplified bubble interactions.

Purpose of the Study:

  • To develop a mathematical model simulating the evolution of two interacting inert gas bubbles in tissue.
  • To quantify the impact of bubble proximity and initial size on bubble dynamics.
  • To compare the behavior of two interacting bubbles with a single bubble model.

Main Methods:

  • Developed a mathematical model for two spherical inert gas bubbles in infinite tissue.
  • Utilized bipolar coordinates for inert gas pressure distribution.

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  • Derived and numerically solved coupled equations for bubble radii.
  • Calculated bubble existence time and surface flux for various bubble separations.

    • Main Results:

    • Bubble evolution is significantly affected by inter-bubble distance and initial radii.
    • Two closely spaced bubbles dissolve 20% slower than a single bubble.
    • The total surface flux of two bubbles is nearly 20% less than twice that of a single bubble.
    • Interactions cause ~6% change in existence time and ~9% change in surface flux at 10x radius separation.

    Conclusions:

    • Inert gas bubble interactions are critical for accurate modeling of bubble evolution.
    • Models predicting bubble dynamics should account for inter-bubble effects, especially for non-small bubbles.
    • This study provides quantitative insights into bubble coalescence and dissolution dynamics.