Reference : A Tutorial on Bayesian Inference to Identify Material Parameters in Solid Mechanics |
Scientific journals : Article | |||
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/10993/37698 | |||
A Tutorial on Bayesian Inference to Identify Material Parameters in Solid Mechanics | |
English | |
Rappel, Hussein ![]() | |
Beex, Lars ![]() | |
Hale, Jack ![]() | |
Noels, Ludovic [] | |
Bordas, Stéphane ![]() | |
1-Jan-2019 | |
Archives of Computational Methods in Engineering | |
International Center for Numerical Methods in Engineering | |
1-25 | |
Yes | |
International | |
1134-3060 | |
Barcelona | |
Spain | |
[en] Bayesian inference ; Bayes’ theorem ; stochastic identification ; statistical identification ; parameter identification ; elastoplasticity, ; plasticity | |
[en] The aim of this contribution is to explain in a straightforward manner how Bayesian inference can be used to identify material parameters of material models for solids. Bayesian approaches have already been used for this purpose, but most of the literature is not necessarily easy to understand for those new to the field. The reason for this is that most literature focuses either on complex statistical and machine learning concepts and/or on relatively complex mechanical models. In order to introduce the approach as gently as possible, we only focus on stress–strain measurements coming from uniaxial tensile tests and we only treat elastic and elastoplastic material models. Furthermore, the stress–strain measurements are created artificially in order to allow a one-to-one comparison between the true parameter values and the identified parameter distributions. | |
University of Luxembourg - UL ; European Research Council | |
279578 - REALTCUT - Towards real time multiscale simulation of cutting in non-linear materials with applications | |
Researchers ; Professionals ; Students ; General public ; Others | |
http://hdl.handle.net/10993/37698 | |
10.1007/s11831-018-09311-x | |
FnR ; FNR6693582 > Jack Samuel Hale > > Advanced Computational Methods for the Simulation of Cutting in Surgery > 01/01/2014 > 31/12/2015 > 2013 |
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