The Forward and Adjoint Transport of Bullets in Monte Carlo Air-Defense-End-Game Ballistic Vulnerability Problems.

Abstract

Ongoing work at the US Army Ballistic Research Laboratory (BRL) is aimed at predicting the effectiveness of air-defense gun systems. Computerized methodologies are used to solve representative end game problems. One such methodology, illustrated by the MGEM (Modern Gun Effectiveness Model) Monte Carlo computer program, is currently used at BRL to calculate the expected value of kill for aircraft exposed to point detonation bullets fired from gun systems located on the ground. However, the procedures used in MGEM are not adequate for predicting the effectiveness of proximity fuzed (PX) bullets and need to be extended to obtain a methodology with such a capability. Additionally, the need for even more complex methodologies is anticipated in the future when the feasibility of using smart PX bullets, that is bullets whose trajectories can be changed during flight in order to take advantage of radar fixes of target location at times subsequent to the firing of the bullet, is investigated. The objectives of this study are to formalize the MGEM methodology, and to develop alternative Monte Carlo methods of solution which may be advantageously used in the future in the construction of PX and smart-bullet methodologies. Keywords: computations; kill probabilities; mathematical models; estimates.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1986
Accession Number
ADA174612

Entities

People

  • William B. Beverly

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Defense
  • Aircrafts
  • Computational Science
  • Computer Programs
  • Coordinate Systems
  • Detectors
  • Fixed Wing Aircraft
  • Flight Paths
  • Hit Probabilities
  • Kill Probabilities
  • Monte Carlo Method
  • Muzzle Velocity
  • Numerical Analysis
  • Probability Density Functions
  • Random Variables
  • Sampling
  • Two Dimensional

Readers

  • Computational Fluid Dynamics (CFD)
  • Systems Analysis and Design
  • ballistics.