Quantifying Uncertainties in Parameterizations of Strength Models of Rolled Homogeneous Armor: Part 2, R-Based Workflow

Abstract

This report describes a workflow, based on the Bayesian software tool RStan and the R language, that has been used to obtain information on strength model parameters in rolled homogeneous armor that can be used in uncertainty propagation analyses. This workflow is supplemented with an illustration of how an approximate interval predictor model can be implemented using the R package lpSolve. It is hoped that this workflow may serve as a source of example code for other CCDC Army Research Laboratory researchers who wish to obtain results that facilitate uncertainty quantification.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2019
Accession Number
AD1081739

Entities

People

  • J. J. Ramsey

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Armor
  • Computer Programming
  • Computer Programs
  • Computers
  • Crystal Structure
  • Databases
  • Information Science
  • Language
  • Military Research
  • Monte Carlo Method
  • Probability
  • Programming Languages
  • Rolled Homogeneous Armor
  • Specific Heat
  • Statistics
  • Three Dimensional
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development
  • Metallurgy

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference