Bayesian parameter identification in plasticity

Ehsan Adeli, Bojana Rosić, Hermann G. Matthies, Sven Reinstädler

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

3 Citations (Scopus)
4 Downloads (Pure)

Abstract

To evaluate the cyclic behaviour under different loading conditions using the kinematic and isotropic hardening theory of steel a Chaboche visco-plastic material model is employed. The parameters of a constitutive model are usually identified by minimization of the distance between model response and experimental data. However, measurement errors and differences in the specimens lead to deviations in the determined parameters. In this article the Choboche model is used and a stochastic simulation technique is applied to generate artificial data which exhibit the same stochastic behaviour as experimental data. Then the model parameters are identified by applying a variaty of Bayes’s theorem. Identified parameters are compared with the true parameters in the simulation and the efficiency of the identification method is discussed.

Original languageEnglish
Title of host publicationProceedings of the 14th International Conference on Computational Plasticity - Fundamentals and Applications, COMPLAS 2017
EditorsEugenio Onate, Djordje Peric, D. Roger J. Owen, Michele Chiumenti
Place of Publication978-84-946909-6-9
PublisherCIMNE
Pages247-255
Number of pages9
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event14th International Conference on Computational Plasticity - Fundamentals and Applications, COMPLAS 2017 - Barcelona, Spain
Duration: 5 Sep 20177 Sep 2017
Conference number: 14
http://congress.cimne.com/complas2017/frontal/Series.asp

Conference

Conference14th International Conference on Computational Plasticity - Fundamentals and Applications, COMPLAS 2017
Abbreviated titleCOMPLAS 2017
CountrySpain
CityBarcelona
Period5/09/177/09/17
Internet address

Keywords

  • Polynomial chaos
  • Probabilistic inverse approach
  • Uncertainty quantification
  • Viscoplastic model

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