Bipotential versus return mapping algorithms: Implementation of non-associated flow rules

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Numerical implementation of constitutive laws involves specific incremental methods. The "return mapping" [15] and the "bipotential" [4] are one of those, associated respectively to two different classes of materials : the General Standard Materials (GSM) for the return mapping and the Implicit Standard Materials (ISM) for the bipotential. The objective of this paper is then to compare the implementation of those both methods in the case of non associated flow rules in plasticity. In a first section, the properties of the different previous material classes will be recalled and the methods of "return mapping" and "bipotential" will be detailed. The comparison of both methods is realised on the non linear kinematic hardening rule of Armstrong-Frederick [1] in a second section and the details are given in a third part. The numerical implementation is realised in Abaqus/Standard 6.5 by the means of a UMat subroutine and the practical simple case of tension-compression is analysed in a last section.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Computational Structures Technology, CST 2006
PublisherCivil-Comp Press
Volume83
ISBN (Print)9781905088089
Publication statusPublished - 1 Jan 2006
Externally publishedYes
Event8th International Conference on Computational Structures Technology, CST 2006 - Las Palmas de Gran Canaria, Spain
Duration: 12 Sept 200615 Sept 2006

Conference

Conference8th International Conference on Computational Structures Technology, CST 2006
Country/TerritorySpain
CityLas Palmas de Gran Canaria
Period12/09/0615/09/06

Keywords

  • ABAQUS
  • Bipotential
  • Non-associated
  • Numerical implementation
  • Plasticity
  • Return mapping

Fingerprint

Dive into the research topics of 'Bipotential versus return mapping algorithms: Implementation of non-associated flow rules'. Together they form a unique fingerprint.

Cite this