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Pragmatic optimisation methods for determining material constants of viscoplasticity model from isothermal experimental data

Rouse, James Paul; Hyde, Christopher J.; Sun, W.; Hyde, T.H.

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Authors

JAMES ROUSE JAMES.ROUSE@NOTTINGHAM.AC.UK
Associate Professor

Christopher J. Hyde

W. Sun

T.H. Hyde



Abstract

A procedure to estimate material constants for the unified Chaboche viscoplasticity model from experimental data has been published elsewhere; however several critical assumptions are made to enable this and potential numerical problems can limit the effectiveness of the optimisation. Pragmatic optimisation procedures are therefore required to determine the material properties accurately and efficiently. This is made more complex by the presence of several deformation mechanisms and their interactions. Automation is critical due to the large amounts of data generated in testing. Complications that inhibit this process can arise due to factors such as experimental scatter. In this paper, a general optimisation framework is discussed and investigated using data from isothermal tests on a P91 steel at 600°C. Potential obstacles in the procedure are addressed and solutions (such as pre-optimisation experimental data ‘cleaning’) are suggested. Methods to maximise the amount of confidence a user has in a particular optimised constant set are also discussed.

Citation

Rouse, J. P., Hyde, C. J., Sun, W., & Hyde, T. (in press). Pragmatic optimisation methods for determining material constants of viscoplasticity model from isothermal experimental data. Materials Science and Technology, 30(1), https://doi.org/10.1179/1743284713Y.0000000277

Journal Article Type Article
Acceptance Date Apr 20, 2013
Online Publication Date Dec 6, 2013
Deposit Date Sep 19, 2017
Publicly Available Date Sep 19, 2017
Journal Materials Science and Technology
Print ISSN 0267-0836
Electronic ISSN 1743-2847
Publisher Taylor and Francis
Peer Reviewed Not Peer Reviewed
Volume 30
Issue 1
DOI https://doi.org/10.1179/1743284713Y.0000000277
Keywords Chaboche, Visco-plasticity model, Low cycle fatigue, Optimisation, P91
Public URL https://nottingham-repository.worktribe.com/output/720537
Publisher URL https://doi.org/10.1179/1743284713Y.0000000277
Additional Information This is an Accepted Manuscript of an article published by Taylor & Francis in Materials Science and Technology on 06/12/2013, available online: http://www.tandfonline.com/10.1179/1743284713Y.0000000277
Contract Date Sep 19, 2017

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