Lotto Method of Computing Kill Probability of Large Warheads

Abstract

A method is described for computing the kill probability of large warheads against multiply vulnerable targets, either for a single shot or a number of shots during an engagement. A sample of burst positions is drawn at random from the distribution of guidance errors. This can be done in a number of ways. It has been done so far by drawing a card for each of the three cartesian coordinates of the burst position of each shot. The box of cards is made up to represent guidance errors for particular conditions of engagements. Each burst is positioned with respect to a scale model of the target. The distance and direction of each vital component of the aircraft from the burst is measured. The kill probability for each such component, determined from vulnerability and fragmentation data, is read from a graph for the measured distance and direction. A random number table is used to determine whether a particular component was killed by a particular burst. A score is kept on the number of bursts which killed enough components to bring down the target aircraft. One hundred sample bursts are enough to estimate the probability of kill within the accuracy of the vulnerability data, provided this probability is about .3 or higher. The lotto method can be adapted to estimation of low kill probabilities, but it may be necessary to speed up some of the sampling and summarizing by use of punchcard machines.

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Document Details

Document Type
Technical Report
Publication Date
Dec 18, 1950
Accession Number
AD0802147

Entities

People

  • F. G. King

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Facilities
  • Air Resistance
  • Aircrafts
  • Airplanes
  • California
  • Guided Missiles
  • Kill Probabilities
  • Munitions
  • Normal Distribution
  • Ordnance Laboratories
  • Physics Laboratories
  • Probability
  • Probability Distributions
  • Trajectories
  • Vulnerability

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Explosive Engineering.
  • Regression Analysis.