A Numerical Method for Unfolding the Stabilized Nuclear Cloud Particle Distribution

Abstract

A numerical unfolding of particle size distribution from reduced airborne filter sample data is developed. First stabilized nuclear cloud is modeled using a trial particle size distribution that is positioned in the atmosphere by empirical relationships. Then Davies-McDonald fall mechanics are used to model the falling particles in the cloud. The amount of mass at each sample altitude at each sample time is calculated from the cloud model and compared to the amount of mass found in actual cloud samples. When the calculated masses equal the actual masses, the particle distribution used to construct the stabilized cloud is the correct one. A computer code for this numerical analysis is tested using hypothetical filter sample data constructed from a known particle size distribution. An input parameter sensitivity analysis is also conducted. Actual nuclear cloud sample data from the Redwing series ZUNI shot is analyzed using this numerical method of airborne nuclear cloud sample analysis. The outcome of the ZUNI sample analysis is somewhat inconclusive in that it does not pinpoint a distribution. However, results of the model sensitivity analysis indicate that the particle size distribution of the stabilized ZUNI cloud may be lognormal with a log-slope between 2.9 and 3.9.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1986
Accession Number
ADA172960

Entities

People

  • James R. Felty

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Altitude
  • Artillery
  • Atmospheres
  • Computers
  • Data Analysis
  • Engineering
  • Equations
  • Materials
  • Mechanics
  • Nuclear Engineering
  • Numerical Analysis
  • Particle Size
  • Particles
  • United States
  • United States Military Academy

Readers

  • Aerosol Science/Aerosol Physics
  • Explosive Engineering.
  • Regression Analysis.