Application of Existing Uncertainty Quantification Capabilities to Modeling of Dynamic Penetration of Armor: A Follow Up

Abstract

This is a continuation of previous work discussed in the technical report Survey of Existing Uncertainty Quantification Capabilities for Army-Relevant Problems (ARL-TR-8218), in particular, the application of existing software tools for uncertainty quantification to modeling of penetration of rolled homogeneous armor. Whereas this previous work used only one plasticity model for the target and crude estimates for the material models parameters, the current work uses two plasticity models, Johnson-Cook and Zerilli-Armstrong, and estimates the uncertainties in the parameters of these models by applying approximate interval predictor models to experimental stress-strain data of the target material. In addition, three software tools are applied to the penetration problem: Dakota, OpenTURNS, and UQPy. The two material models lead to largely overlapping uncertainty intervals for the penetration depth, and these intervals are less than half as wide as those of the previous work. The three software tools largely agree in their output but differ in their computational expense and ease of use.

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Document Details

Document Type
Technical Report
Publication Date
May 22, 2019
Accession Number
AD1073872

Entities

People

  • James J. Ramsey

Organizations

  • United States Army Combat Capabilities Development Command

Tags

Communities of Interest

  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Armor
  • Central Processing Units
  • Computer Programs
  • Crystal Structure
  • Data Science
  • Databases
  • Digital Data
  • Evolutionary Algorithms
  • Gaussian Processes
  • Heat Capacity
  • Information Processing
  • Information Science
  • Intervals
  • Materials
  • Military Research
  • Optimization
  • Plastic Properties
  • Probability
  • Rolled Homogeneous Armor
  • Simulations
  • Specific Heat
  • Statistics
  • Strain Rate
  • Stress Strain Relations

Readers

  • Computational Modeling and Simulation
  • Mechanical Engineering/Mechanics of Materials.
  • Metallurgy