Bayesian updating of mechanical models-Application in fracture mechanics

  title={Bayesian updating of mechanical models-Application in fracture mechanics},
  author={Fr{\'e}d{\'e}ric Perrin and B. Sudret and Maurice Pendola},
The objective of this paper is to develop a general framework for updating the predictions of models of structures using observations gathered from the monitoring of these structures. A general Bayesian updating scheme is developed, combining prior information on model parameters and monitoring data (including measurement uncertainties). A Markov chain Monte-Carlo (MCMC) sampling method is used for computing the posterior probability density functions (PDF) of input random variables. Then the… CONTINUE READING

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