Advertisement

The Effect of Thermodynamic Constraints Upon the Mie-Grüneisen Equation of State

  • Steven B. Segletes
Conference paper

Abstract

Hydrocodes or wave codes, as they are often called, are a common analysis tool in the terminal ballistic community and are expected to become increasingly useful as a design tool as well. These codes are used to analyze a variety of terminal ballistic phenomena which involve impact, detonation, and/or wave propagation. As such, it is vital that the numerical and material modeling formulations which make up this class of codes be on firm scientific footing. One aspect of the material modeling formulations which is very important to hydrocodes is the equation of state, which defines material pressure in terms of other thermodynamic parameters. The equation of state is one of several key material descriptors employed in hydrocodes.

Keywords

Specific Volume Material Phase Change Reference Curve Thermodynamic Behavior Wave Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Steven B. Segletes, Further Examinations on the Thermodynamic Stability of the Mie-Grüneisen Equation of State, J. Appl. Phys., 76 (1994), pp. 4560–4566.CrossRefGoogle Scholar
  2. [2]
    Steven B. Segletes, Thermodynamic Stability of the Mie-Griineisen Equation of State and its Relevance to Hydrocode Computations, J. Appl. Phys., 70 (1991), pp. 2489–2499CrossRefGoogle Scholar
  3. [2a]
    Steven B. Segletes, Thermodynamic Stability of the Mie-Griineisen Equation of State and its Relevance to Hydrocode Computations, J. Appl. Phys. 71 (1992), p. 1074(E).CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Steven B. Segletes
    • 1
  1. 1.U.S. Army Research LaboratoryAberdeen Proving GroundUSA

Personalised recommendations