Reference : Bayesian inference to identify parameters in viscoelasticity
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Multidisciplinary, general & others
Engineering, computing & technology : Aerospace & aeronautics engineering
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Engineering, computing & technology : Materials science & engineering
Engineering, computing & technology : Mechanical engineering
Engineering, computing & technology : Multidisciplinary, general & others
Computational Sciences
http://hdl.handle.net/10993/29561
Bayesian inference to identify parameters in viscoelasticity
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 >]
Bordas, Stéphane mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
10-Aug-2017
Mechanics of Time-Dependent Materials
Yes
International
1385-2000
[en] Bayesian inference ; Bayes’ theorem ; Statistical identification ; Parameter identification ; Viscoelasticity
[en] This contribution discusses Bayesian inference (BI) as an approach to identify parameters in viscoelasticity. The aims are: (i) to show that the prior has a substantial influence for viscoelasticity, (ii) to show that this influence decreases for an increasing number of measurements and (iii) to show how different types of experiments influence the identified parameters and their uncertainties. The standard linear solid model is the material description of interest and a relaxation test, a constant strain-rate test and a creep test are the tensile experiments focused on. The experimental data are artificially created, allowing us to make a one-to-one comparison between the input parameters and the identified parameter values. Besides dealing with the aforementioned issues, we believe that this contribution forms a comprehensible start for those interested in applying BI in viscoelasticity.
University of Luxembourg - UL ; Fonds National de la Recherche Luxembourg- FNR ; ERC RealTCut
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/10993/29561

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