Computational methods for viscoplastic dynamic fracture mechanics analysis

  • B. R. Bass
  • , C. E. Pugh
  • , J. Keeney-Walker
  • , R. J. Dexter
  • , P. E. O'Donoghue
  • , C. W. Schwartz

Research output: Contribution to conference (Published)Paperpeer-review

Abstract

The role of nonlinear rate-dependent effects in the interpolation of crack run-arrest events in ductile materials is being investigated by the Heavy-Section Steel Technology (HSST) program through development and applications of viscoplastic-dynamic finite element analysis techniques. This paper describes studies where various viscoplastic constitutive models and several proposed nonlinear fracture criteria are being installed in general purpose (ADINA) and special purpose (VISCRK) finite element computer programs. The models implemented in these computer programs include the Bodner-Partom and the Perzyna viscoplastic formulations; the proposed fracture criteria include three parameters that are based on energy principles. The predictive capabilities of the nonlinear techniques are evaluated through applications to a series of HSST wide-plate crack-arrest tests. To assess the impact of including viscoplastic effects in the computational models, values of fracture parameters calculated in elastodynamic and in viscoplastic-dynamic analyses are compared for a large wide-plate test. Plans are reviewed for additional computational and experimental studies to assess the utility of viscoplastic analysis techniques in constructing a dynamic inelastic fracture mechanics model for ductile steels.

Original languageEnglish
Pages127-136
Number of pages10
Publication statusPublished - 1988
Externally publishedYes
EventComputers in Engineering 1988 - Proceedings - San Francisco, CA, USA
Duration: 31 Jul 19884 Aug 1988

Conference

ConferenceComputers in Engineering 1988 - Proceedings
CitySan Francisco, CA, USA
Period31/07/884/08/88

Fingerprint

Dive into the research topics of 'Computational methods for viscoplastic dynamic fracture mechanics analysis'. Together they form a unique fingerprint.

Cite this