Damage assessment of the bridge structures using a hybrid optimization strategy

Reza Baghaei; Maria Q. Feng

doi:10.1117/12.848855

8 April 2010 Damage assessment of the bridge structures using a hybrid optimization strategy

Reza Baghaei, Maria Q. Feng

Proceedings Volume 7649, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2010; 76491N (2010) https://doi.org/10.1117/12.848855
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2010, San Diego, California, United States

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.

Citation Download Citation

Reza Baghaei and Maria Q. Feng "Damage assessment of the bridge structures using a hybrid optimization strategy", Proc. SPIE 7649, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2010, 76491N (8 April 2010); https://doi.org/10.1117/12.848855

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