Sensitivity or bayesian model updating: a comparison of techniques using the dlr airmod test data

HIGHLIGHTS

• who: Edoardo Patelli from the (UNIVERSITY) have published the Article: Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data, in the Journal: (JOURNAL)
• what: In this paper two currently prominent stochastic model updating techniques (sensitivity-based updating and Bayesian model updating) are described and applied to the DLR AIRMOD structure. Both methods aim to correct the model by using a reasonably small number of updating parameters.
• how: Based upon the current sample the algorithm picks a candidate next sample which is tested for acceptance or rejection according . . .
  

   

  

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