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