ENERGY PARTITION OF WATER-CASED EXPLOSIONS IN AN IDEALIZED MODEL REACTOR VESSEL

Abstract

Investigations were made of the partition of mechanical and non- mechanical energies resulting from the detonation of a water-cased explosive surrounded by air in a closed piston-fitted vessel. Of eight postulated governing parameters, the three more important parameters are given, i. e., charge weight, mass-per-frontal area, and water-to-air ratio, on energy partition. Ana lytic equations were established that express energy partition in terms of model-plug response to simulated excursion-type loading. These equations require for their solutions only a knowledge of the displacement-time history of the model plug. Eleven energy-partition experiments were conducted in a test apparatus that simulates the Enrico Fermi Atomic Power Plant. Experimental displacement-time data were graphically and analytically treated to obtain various plug-response functions and the subject energy partition. For the subject experiments only, it is concluded that increasing water-to-air ratios have a marked decreasing effect on energy partition (ratio of mechanical to non-mechanical energy), that increasing mass-per-frontal-area ratios have only a slight decreasing effect on energy partition, and that increasing charge weights have a slight increasing effect on energy partition.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1963
Accession Number
AD0415708

Entities

People

  • James F. Proctor

Organizations

  • Naval Ordnance Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Cameras
  • Chemical Reactions
  • Detonations
  • Electric Power Plants
  • Energy
  • Engineering
  • Equations
  • Explosions
  • Explosives
  • Materials Laboratories
  • Mechanical Energy
  • Mechanical Engineering
  • Nuclear Energy
  • Nuclear Power Plants
  • Nuclear Reactors
  • Photographs
  • United States

Readers

  • Energy Conservation and Renewable Energy Engineering.
  • Explosive Engineering.
  • Regression Analysis.