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Unified viscoplasticity modelling and its application to fatigue-creep behaviour of gas turbine rotor

Benaarbia, Adil; Rae, Y.; Sun, Wei

Authors

Adil Benaarbia

Y. Rae

Wei Sun



Abstract

This paper presents an elasto-visco-plastic finite element modelling framework including the associated UMAT codes to investigate the high temperature behaviour of gas turbine rotor steels. The model used in the FE study is an improved and unified multi-axial Chaboche-Lemaitre model which takes into account non-linear kinematic and isotropic hardening. The computational methodology is a three-dimensional framework following an implicit formulation and based on a radial return mapping algorithm. The UMAT is calibrated and validated across isothermal hold-time cyclic tests. The methodology developed is applied to a classical industrial gas turbine rotor where the study focuses its attention on the deformation heterogeneities and critical high stress areas within the rotor structure. The effect of thermal transients and geometry singularities on the development of residual stresses is underlined. Finally, the potential improvements and extensions of such FE viscoplastic analysis is discussed.

Citation

Benaarbia, A., Rae, Y., & Sun, W. (2018). Unified viscoplasticity modelling and its application to fatigue-creep behaviour of gas turbine rotor. International Journal of Mechanical Sciences, 136, https://doi.org/10.1016/j.ijmecsci.2017.12.008

Journal Article Type Article
Acceptance Date Dec 2, 2017
Online Publication Date Dec 7, 2017
Publication Date Feb 1, 2018
Deposit Date Dec 5, 2017
Publicly Available Date Dec 8, 2018
Journal International Journal of Mechanical Sciences
Print ISSN 0020-7403
Electronic ISSN 0020-7403
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 136
DOI https://doi.org/10.1016/j.ijmecsci.2017.12.008
Keywords Cyclic viscoplasticity, finite element, return mapping, gas
turbine rotor
Public URL https://nottingham-repository.worktribe.com/output/962613
Publisher URL https://www.sciencedirect.com/science/article/pii/S0020740317324323

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