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Advances in Civil Engineering
Volume 2014, Article ID 540363, 16 pages
http://dx.doi.org/10.1155/2014/540363
Research Article

Damage Identification for Prestressed Adjacent Box-Beam Bridges

1Department of Civil Engineering, Ohio University, Athens, OH 45701, USA
2GPD Group, 1801 Watermark Drive, Suite 150, Columbus, OH 43215, USA

Received 31 May 2014; Accepted 25 August 2014; Published 23 September 2014

Academic Editor: Andreas Kappos

Copyright © 2014 Kenneth K. Walsh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Structural health monitoring (SHM) has gained considerable attention as a tool for monitoring the health of civil infrastructure. For bridge infrastructure, previous methods have focused on the detection of localized damage through modal parameters extracted from the longitudinal direction of the structure. This paper investigates a new damage detection method based on the change in the first vertical mode extracted from the transverse direction of the bridge. The mode is determined through application of modal curve fitting to frequency response functions (FRFs) that are formed using vertical response data obtained in the direction perpendicular to the bridge’s longitudinal axis. Using this method, both local damage and global damage in the bridge reveal themselves as having a localized effect on the bridge response. Furthermore, damage is revealed in such a way that it enables differentiation of the damage types. To demonstrate the effectiveness of the method, modal parameters were extracted from acceleration data obtained from a finite element model of a full bridge. Analysis of the modal parameters showed that the proposed approach could not only detect both local and global bridge damage, but could also differentiate between damage types using only one mode shape. The proposed method was compared to a previously developed SHM method.