Sensitivity of Particle Size in Discrete Element Method to Particle Gas Method (DEM_PGM) Coupling in Underbody Blast Simulations

Abstract

In this paper, the capability of two methods of modelling detonation of high explosives (HE) buried in soil viz., (1) coupled discrete element and particle gas methods (DEM-PGM) and (2) Arbitrary Lagrangian-Eulerian (ALE), are investigated. The ALE method of modeling the effects of buried charges in soil is well known and widely used in blast simulations today [6]. Due to high computational costs, inconsistent robustness and long run times, alternate modeling methods such as Smoothed Particle Hydrodynamics (SPH) [7] and DEM are gaining more traction. In all these methods, accuracy of the analysis relies not only on the fidelity of the soil and high explosive models but also on the robustness of fluid-structure interaction. These high-fidelity models are also useful in generating fast running models (FRM) useful for rapid generation of blast simulation results of acceptable accuracy [8-14]. In this paper, the effect of sensitivity of particle size in the performance of the DEM_PGM blast simulation is compared to that of the ALE blast simulation method. The main focus of this study is to understand the strengths of DEM_PGM and identify the limitations/strengths compared to the ALE method. Discrete Element Method (DEM) can model individual particle directly, and displace independently which is based on Cundall and Strack.

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Document Details

Document Type
Technical Report
Publication Date
Jun 12, 2016
Accession Number
AD1011313

Entities

People

  • Kumar Kulkarni
  • Ravi S. Thyagarajan
  • Sanjay Kankanalapalli
  • Venkatesh Babu

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Coefficients
  • Computations
  • Couplings
  • Department Of Defense
  • Displacement
  • Energy
  • Engineering
  • Geometry
  • Governments
  • High Explosives
  • Kinetic Energy
  • Materials
  • Models
  • Particles
  • Simulations
  • United States
  • United States Government

Fields of Study

  • Engineering

Readers

  • Computational Fluid Dynamics (CFD)
  • Explosive Engineering.