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Nov 1, 2006

Damage Localization and Finite-Element Model Updating Using Multiresponse NDT Data

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Publication: Journal of Bridge Engineering
Volume 11, Issue 6

Abstract

New techniques for both finite-element model updating and damage localization are presented using multiresponse nondestructive test (NDT) data. A new protocol for combining multiple parameter estimation algorithms for model updating is presented along with an illustrative example. This approach allows for the simultaneous use of both static and modal NDT data to perform model updating at the element level. A new damage index based on multiresponse NDT data is presented for damage localization of structures. This index is based on static and modal strain energy changes in a structure as a result of damage. This method depicts changes in physical properties of each structural element compared to its initial state using NDT data. Deficient or potentially damaged structural elements are then selected as the unknown parameters to be updated by parameter estimation. Error function normalization, error function stacking, and multiresponse parameter estimation methods are proposed for using multiple data types for simultaneous stiffness and mass parameter estimation. Also, multiple sets of measurements with various sizes and missing data points can be utilized. This paper uses a laboratory grid model of a bridge deck built at the University of Cincinnati Infrastructure Institute and the corresponding NDT data for validation of the above damage localization and model updating methods. Multiresponse parameter estimation has been utilized to update the stiffness of bearing pads, and both the stiffness and mass of the connections, using static and dynamic NDT data. The static and modal responses of the updated grid model presented a closer match with the NDT data than the responses from the initial model.

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Acknowledgments

The writers are grateful for partial funding of this research by NSF Grant No. NSFCMS-9622067. They would like to thank Professor Aktan (Drexel University) and Professor Helmicki (The University of Cincinnati) and their students for performing the experiments on the physical model and for access to this experimental data. The writers also sincerely thank Professor Sara Wadia-Fascetti (Northeastern University) for continuous support, participation, and enlightening discussions in this research.

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Published In

Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 11Issue 6November 2006
Pages: 688 - 698

History

Received: Dec 9, 2004
Accepted: Sep 23, 2005
Published online: Nov 1, 2006
Published in print: Nov 2006

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Authors

Affiliations

Masoud Sanayei
Professor, Dept. of Civil and Environmental Engineering, Tufts Univ., Medford, MA 02155 (corresponding author). E-mail: [email protected]
Erin Santini Bell
Assistant Professor, Dept. of Civil Engineering, Univ. of New Hampshire, Durham, NH 03824. E-mail: [email protected]
Chitra N. Javdekar
Prudent Solutions Inc., Somerville, MA 02144; formerly, Ph.D. Candidate, Tufts Univ., Medford, MA. E-mail: [email protected]
Jennifer L. Edelmann
LeMessurier Consultants, Cambridge, MA 02139; formerly, Graduate Student, Dept. of Civil and Environmental Engineering, Tufts Univ., Medford, MA 02155. E-mail: [email protected]
Eugene Slavsky
Ammann & Whitney, Inc., Boston, MA 02108; formerly, Graduate Student, Dept. of Civil and Environmental Engineering, Tufts Univ., Medford, MA 02155. E-mail: [email protected]

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