A FLUID-MECHANICAL MODEL OF THE THORACO-ABDOMINAL SYSTEM WITH APPLICATIONS TO BLAST BIOLOGY

Abstract

A mathematical model was described which was developed to compute some of the fluid-mechanical responses of the thoraco-abdominal system subjected to rapid changes in environmental pressure. Parameters relating the animal to the model were estimated, tested and then adjusted as required by comparing model results with experimental records of thoracic pressures recorded for rabbits exposed to blast waves in shock tubes. Equations were derived to scale parameters applicable to a given animal to those for similar creatures of arbitrary mass. By dimensional analysis other equations were developed to relate, for a given biological response, the body mass of similar animals to blast wave parameters. Numerical solutions of the model were presented to help explain the mechanisms involved when animals were loaded with typical wave forms or with pulses increasing to a maximum in a stepwise manner, a contingency associated with a quite significant increase in mammalian tolerance to overpressure. Differences in response to short- and long- duration blast waves were noted. Applications of the scaling concepts were exemplified in several ways making use of the published data in blast biology.

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Document Details

Document Type
Technical Report
Publication Date
Jun 14, 1965
Accession Number
AD0469913

Entities

People

  • April Holladay
  • Clayton S. White
  • Donald R. Richmond
  • E. R. Fletcher
  • I. G. Bowen

Organizations

  • Lovelace Foundation

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Springs
  • Blast
  • Computers
  • Contracts
  • Department Of Defense
  • Dynamic Response
  • Experimental Data
  • Explosives
  • Governments
  • Internal Pressure
  • Laboratory Animals
  • Mathematical Models
  • New Mexico
  • Resonant Frequency
  • Rodents
  • Sea Level
  • Skeletal Muscle

Fields of Study

  • Biology

Readers

  • Cardiovascular Physiology
  • Combustion Dynamics and Shock Wave Physics.
  • Computational Modeling and Simulation