Reference : Bayesian inference for the stochastic identification of elastoplastic material parame...
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Physical, chemical, mathematical & earth Sciences : Multidisciplinary, general & others
Engineering, computing & technology : Civil engineering
Engineering, computing & technology : Materials science & engineering
Engineering, computing & technology : Mechanical engineering
Engineering, computing & technology : Multidisciplinary, general & others
Computational Sciences
http://hdl.handle.net/10993/28631
Bayesian inference for the stochastic identification of elastoplastic material parameters: Introduction, misconceptions and insights
English
Rappel, Hussein mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Beex, Lars mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Hale, Jack mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Bordas, Stéphane mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Undated
v4
40
No
[en] Bayesian inference ; Bayes’ theorem ; stochastic identification ; statistical identification ; parameter identification ; elastoplasticity ; plasticity
[en] We discuss Bayesian inference (BI) for the probabilistic identification of material parameters. This contribution aims to shed light on the use of BI for the identification of elastoplastic material parameters. For this purpose a single spring is considered, for which the stress-strain curves are artificially created. Besides offering a didactic introduction to BI, this paper proposes an approach to incorporate statistical errors both in the measured stresses, and in the measured strains. It is assumed that the uncertainty is only due to measurement errors and the material is homogeneous. Furthermore, a number of possible misconceptions on BI are highlighted based on the purely elastic case.
University of Luxembourg - UL ; European Research Council
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/28631
https://arxiv.org/abs/1606.02422
https://arxiv.org/abs/1606.02422
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