An Expanded VARICOMP Method for Determining Detonation Transfer Probabilities

Abstract

VARICOMP (a term coined by J. N. Ayres for a method developed at the Naval Ordnance Laboratory, White Oak, in the 1950s and early 1960s) is a method for evaluating the interface between fuze explosive components in which it can be determined by statistical analysis and testing that the reliability and safety of a fuze explosive train can be predicted at high-confidence levels with a small number of tests. This is done by varying the sensitivity of different explosives that are then substituted into the explosive train of interest to determine the safety and reliability limits under a penalty test situation. For reliability tests the acceptor design explosive is replaced by a less sensitive VARICOMP explosive, whereas for safety evaluation a more sensitive explosive (PETN) is used. A sensitivity calibration was made of various design explosives and two different series of VARICOMP explosives (desensitized RDX). The work differed from earlier similar efforts in that each explosive was calibrated using donors of three diameters (50, 100, and 200 mils). One of the VARICOMP mixes has a sensitivity to initiation nearly independent of diameter; the other has a sensitivity to initiation highly dependent upon diameter.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1975
Accession Number
ADA021890

Entities

People

  • James E. Means

Organizations

  • Naval Air Weapons Station China Lake

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Calcium Compounds
  • Elements
  • Explosive Trains
  • Explosives
  • Fatty Acids
  • Materials
  • Materials Laboratories
  • Materials Testing
  • Munitions
  • Ordnance Laboratories
  • Particle Size
  • Particles
  • Plastic Bonded Explosives
  • Plastic Explosives
  • Statistical Analysis
  • Test And Evaluation
  • Test Methods

Fields of Study

  • Physics

Readers

  • Munitions and Ordnance Engineering
  • Regression Analysis.
  • Software Engineering