A tool to identify parameter errors in finite element models

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Description

A popular method for updating finite element models with modal test data utilizes optimization of the model based on design sensitivities. The attractive feature of this technique is that it allows some estimate and update of the physical parameters affecting the hardware dynamics. Two difficulties are knowing which physical parameters are important and which of those important parameters are in error. If this is known, the updating process is simply running through the mechanics of the optimization. Most models of real systems have a myriad of parameters. This paper discusses an implementation of a tool which uses the model and ... continued below

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6 p.

Creation Information

Mayes, R. L. February 1, 1997.

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

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

A popular method for updating finite element models with modal test data utilizes optimization of the model based on design sensitivities. The attractive feature of this technique is that it allows some estimate and update of the physical parameters affecting the hardware dynamics. Two difficulties are knowing which physical parameters are important and which of those important parameters are in error. If this is known, the updating process is simply running through the mechanics of the optimization. Most models of real systems have a myriad of parameters. This paper discusses an implementation of a tool which uses the model and test data together to discover which parameters are most important and most in error. Some insight about the validity of the model form may also be obtained. Experience gained from applications to complex models will be shared.

Physical Description

6 p.

Notes

OSTI as DE97002528

Source

  • International modal analysis conference, Orlando, FL (United States), 3-6 Feb 1997

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  • Other: DE97002528
  • Report No.: SAND--97-0050C
  • Report No.: CONF-970233--9
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 449132
  • Archival Resource Key: ark:/67531/metadc682860

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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Creation Date

  • February 1, 1997

Added to The UNT Digital Library

  • July 25, 2015, 2:21 a.m.

Description Last Updated

  • April 14, 2016, 8:14 p.m.

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Mayes, R. L. A tool to identify parameter errors in finite element models, article, February 1, 1997; Albuquerque, New Mexico. (https://digital.library.unt.edu/ark:/67531/metadc682860/: accessed April 18, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.