Munition Penetration-Depth Prediction

Abstract

Existing models for predicting the penetration depth of munitions and explosives of concern are inaccurate and insufficient from a user (range manager, U.S. Army Corps of Engineers project manager, or environmental consultant) operability perspective for current needs. We attribute poor model performance to (1) a heavy dependence on empirically derived parameterizations poorly linked to the physical properties of the target material or (2) physics-based models that inadequately capture the salient mechanical processes, especially in the first meter of penetration. Consequently, we have developed a micromechanical-based model using a hybrid discrete element model (DEM) / finite element model (FEM) approach capable of a detailed treatment of near-surface soil properties. To examine the effects of varying levels of moisture on the dynamic behavior of a soil, we fabricated a small-scale triaxial shear test to inform the development and calibration of the DEM contact model. We conducted projectile-drop tests into sand with a scale version of a 57 mm projectile and measured projectile penetration to compare with model results.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2017
Accession Number
AD1039187

Entities

People

  • Arnold S. Song
  • Brendan A. West
  • David M. Cole
  • Devin O’Connor
  • Jay L. Clausen
  • Matthew Parno
  • Oliver-denzil S. Taylor
  • Taylor S. Hodgdon

Organizations

  • Cold Regions Research and Engineering Laboratory

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Army Corps Of Engineers
  • Calibration
  • Computational Science
  • Drop Tests
  • Engineers
  • Geometry
  • Materials
  • Measurement
  • Mechanical Properties
  • Mechanics
  • Modulus Of Elasticity
  • Molecular Dynamics
  • Munitions
  • Physical Properties
  • Shear Modulus
  • Shear Tests
  • Three Dimensional

Readers

  • Computer Vision.
  • Geotechnical Engineering.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers