Examination of the Distribution of the Number of Component-Damage States

Abstract

In live-fire testing, munitions are fired at armored vehicles. Results from this type of testing are critical components that were damaged in the encounter between the munition and the armored vehicle. Before testing begins, predictions are made by using a stochastic vulnerability estimation code. For every sampling trial, the code produces a vector that identifies a specific combination of critical components rendered nonfunctional in the encounter. Thus, each vector identifies a hypothetical test outcome. Experimental results can then be compared with predictions. As part of a consistency examination, observed component damage in a test firing can be compared with vectors of predicted damage. In some cases, a match may not be found. Such a discrepancy may be caused by an insufficient number of samples selected. By making appropriate assumptions, this sampling problem then surrenders to mathematical investigation. Illustrative examples are presented that demonstrate the nature of the sampling deficiency. Even though the examples represent idealized situations, they do provide insights to the sampling problem in the vulnerability code. Live fire, Probability, Sampling.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1994
Accession Number
ADA286241

Entities

People

  • Lawrence D. Losie

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Armored Vehicles
  • Army
  • Chi Square Test
  • Data Science
  • Frequency
  • Information Science
  • Military Research
  • Munitions
  • Probability
  • Random Variables
  • Records Management
  • Sampling
  • Simulations
  • Standards
  • Technicians
  • Test And Evaluation
  • Vehicles

Readers

  • Computational Modeling and Simulation
  • Munitions and Ordnance Engineering
  • Statistical inference.