A Validation of Bayesian Finite Element Model Updating for Linear Dynamics

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This work addresses the issue of statistical model updating and correlation. The updating procedure is formulated to improve the predictive quality of a structural model by minimizing out-of-balance modal forces. It is shown how measurement and modeling uncertainties can be taken into account to provide not only the correlated model but also the associated confidence levels. Hence, a Bayesian parameter estimation technique is derived and its numerical implementation is discussed. Two demonstration examples that involve test-analysis correlation with real test data are presented. First, the validation of an engine cradle model used in the automotive industry shows how the design's … continued below

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Hemez, F.M. & Doebling, S.W. February 8, 1999.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by the UNT Libraries Government Documents Department to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 99 times. More information about this article can be viewed below.

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This work addresses the issue of statistical model updating and correlation. The updating procedure is formulated to improve the predictive quality of a structural model by minimizing out-of-balance modal forces. It is shown how measurement and modeling uncertainties can be taken into account to provide not only the correlated model but also the associated confidence levels. Hence, a Bayesian parameter estimation technique is derived and its numerical implementation is discussed. Two demonstration examples that involve test-analysis correlation with real test data are presented. First, the validation of an engine cradle model used in the automotive industry shows how the design's uncertainties can be reduced via model updating. The second example consists of employing test-analysis correlation for identifying the degree of nonlinearity of the LANL 8-DOF testbed.

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OSTI as DE00759472

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  • 17th International Modal Analysis Conference (IMAC), Kissimmee, FL (US), 02/08/1999--02/11/1999

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  • Report No.: LA-UR-98-4574
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 759472
  • Archival Resource Key: ark:/67531/metadc706205

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  • February 8, 1999

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  • Sept. 12, 2015, 6:31 a.m.

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Hemez, F.M. & Doebling, S.W. A Validation of Bayesian Finite Element Model Updating for Linear Dynamics, article, February 8, 1999; New Mexico. (https://digital.library.unt.edu/ark:/67531/metadc706205/: accessed July 10, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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