Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data

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dc.identifier.uri http://dx.doi.org/10.15488/1936
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1961
dc.contributor.author Patelli, Eduardo
dc.contributor.author Govers, Yves
dc.contributor.author Broggi, Matteo
dc.contributor.author Gomes, Herbert Martins
dc.contributor.author Link, Michael
dc.contributor.author Mottershead, John E.
dc.date.accessioned 2017-09-22T11:47:54Z
dc.date.available 2017-09-22T11:47:54Z
dc.date.issued 2017
dc.identifier.citation Patelli, E.; Govers, Y.; Broggi, M.; Gomes, H.M.; Link, M.; Mottershead, J.E.: Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data. In: Archive of Applied Mechanics 87 (2017), Nr. 5, S. 905-925. DOI: https://doi.org/10.1007/s00419-017-1233-1
dc.description.abstract Deterministic model updating is now a mature technology widely applied to large-scale industrial structures. It is concerned with the calibration of the parameters of a single model based on one set of test data. It is, of course, well known that different analysts produce different finite element models, make different physics-based assumptions, and parameterize their models differently. Also, tests carried out on the same structure, by different operatives, at different times, under different ambient conditions produce different results. There is no unique model and no unique data. Therefore, model updating needs to take account of modeling and test-data variability. Much emphasis is now placed on what has become known as stochastic model updating where data are available from multiple nominally identical test structures. 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. eng
dc.language.iso eng
dc.publisher Heidelberg : Springer Verlag
dc.relation.ispartofseries Archive of Applied Mechanics 87 (2017), Nr. 5
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0
dc.subject Bayesian networks eng
dc.subject Finite element method eng
dc.subject Statistical tests eng
dc.subject Stochastic systems eng
dc.subject Testing eng
dc.subject Bayesian eng
dc.subject Covariance eng
dc.subject Deterministic eng
dc.subject Model updating eng
dc.subject Stochastic eng
dc.subject Stochastic models eng
dc.subject Bayesian eng
dc.subject Covariance eng
dc.subject Deterministic eng
dc.subject Model updating eng
dc.subject.ddc 510 | Mathematik ger
dc.title Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data eng
dc.type article
dc.type Text
dc.relation.issn 09391533
dc.relation.doi https://doi.org/10.1007/s00419-017-1233-1
dc.bibliographicCitation.issue 5
dc.bibliographicCitation.volume 87
dc.bibliographicCitation.firstPage 905
dc.bibliographicCitation.lastPage 925
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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