Comparisons of Field Tests with Simulations: Abrams Program Lessons Learned

Abstract

The onset of full-scale, live-fire testing (LFT) has provided vulnerability workers with unprecedented opportunities to examine field results in the light of model predictions: Pre-Abrams experience with LFT showed, however, that the extant vulnerability models lacked 1 the capability to predict component damage states and 2 the ability to reflect at least the principal forms of randomness which are intrinsic to the vulnerability process. To remedy this shortcoming, the BRL/VLD developed a new stochastic point-burst vulnerability code, called SQuASH. SQuASH has been used to predict 48 shots in the Abrams LF program. Both subjective and statistical tests have been performed in an effort to compare field observations with computer predictions. In this paper, the vulnerability framework is described, the kinds of results yielded by the SQuASH predictions, and the lessons learned from efforts to calibrate the model based on the statistical tests performed.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1990
Accession Number
ADA219373

Entities

People

  • Jill H. Smith
  • John H. Suckling
  • Paul H. Deitz

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • Electronic Warfare
  • Ground and Sea Platforms
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Classification
  • Computer Science
  • Computers
  • Engineering
  • Engineers
  • Field Tests
  • Fire Control Systems
  • Histograms
  • Jet Propulsion
  • Munitions
  • National Security
  • Operations Research
  • Security
  • Standards
  • Statistical Tests
  • Test And Evaluation
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Electronics Engineering
  • Military History / Militaries and War Studies