Hussein Rappel

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
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(More)
Bayesian inference (BI) can be used for the probabilistic identification of material parameters. For inverse models for instance, BI may be considered convenient as it introduces a statistically regularisation, which is not present in alternative approaches. Understanding the concepts and the application of BI is however not trivial if one is only familiar(More)
  • 1