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Proceedings Paper

Damage assessment of the bridge structures using a hybrid optimization strategy
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Paper Abstract

Vibration based damage assessment of structures can be formulated as an optimization problem with the objective of minimizing the error between the measured and simulated responses of the structure by updating analytical model parameters. In this study, genetic algorithm (GA) and pattern search technique are combined in a hybrid optimization framework for finite element (FE) model updating using two objective functions defined in time and modal domains. The proposed model updating techniques have been applied to experimental data recorded during a shake table test on a quarter-scale model of a two span reinforced concrete bridge. The bridge was subjected to a series of seismic base excitations with increasing intensities introducing progressive real damage to the structure. Bridge responses to intermediate low amplitude white noise excitations are used for the purpose of modal identification and damage assessment. The FE model parameters are updated at different stages of the experiment. This study shows that damage throughout the structure can be accurately and consistently detected, located and quantified using the proposed model updating techniques.

Paper Details

Date Published: 8 April 2010
PDF: 11 pages
Proc. SPIE 7649, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2010, 76491N (8 April 2010); doi: 10.1117/12.848855
Show Author Affiliations
Reza Baghaei, Univ. of California, Irvine (United States)
Maria Q. Feng, Univ. of California, Irvine (United States)


Published in SPIE Proceedings Vol. 7649:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2010
Peter J. Shull; Aaron A. Diaz; H. Felix Wu, Editor(s)

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