Behind-armour Debris Modelling for High- velocity Fragment Impact (Part 2).

Abstract

This report presents the results of impact experiments and a parallel simulation modelling thereof, with the main objective to study the fragmentation properties of tungsten and steel projectiles at impact. For this purpose, right circular cylinders were fired at armour steel plates. In these experiments the characterisation of the behind armour debris (fragmentation properties) was performed by means of metallic witness packs. In addition, the interaction of the same cylinders with an array of plates representing an armoured helicopter was studied. The latter case represents an impact event, and allows a validation of the fragmentation model to be developed. The fragmentation model uses a combination of hydrocode simulation results and semi empirical relations to predict the characteristics of the cloud of debris formed behind the armour by the interaction of projectile and armour. The model is sofar only capable of handling normal impact. Considering the inherent stochastic nature of fragmentation, the results are very encouraging. A first estimate of the number of perforations in the first witness pack plate can be generated. Modeling work in the future should enhance the modelling capability, by studying the oblique impact results and the damage to the multiple plate targets. Also, to broaden the experimental database, modern structural materials often used in flying weapon platforms will be considered.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1997
Accession Number
ADA341500

Entities

People

  • J. L. Verolme

Organizations

  • Prins Maurits Laboratorium TNO

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Aluminum
  • Armor
  • Armor Plate
  • Classification
  • Equations
  • Experimental Data
  • Fragmentation
  • Helicopters
  • Hydrocodes
  • Line Of Fire
  • Materials
  • Projectiles
  • Simulations
  • Spatial Distribution
  • Strain Rate
  • Tungsten Alloys
  • Validation

Readers

  • Computational Modeling and Simulation
  • Explosive Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference