Damage Identification for Prestressed Adjacent Box-Beam Bridges

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.

Recent progress and future trends on damage identification methods for bridge structures

“…In a theoretical investigation, verified on simulated case studies, Loh et al employed mode shapes along with natural frequencies as features for damage identification of a continuous two‐span concrete bridge structure, using random moving vehicles as excitation; the authors discuss comparative advantages and disadvantages of three methods in terms of damage detection and localization, namely, the null‐space damage index, subspace damage indices, and the MSC. Walsh et al introduced a damage detection method for Prestressed Adjacent Box‐Beam Bridges, relying on variability of the first vertical mode extracted along the transverse direction of the bridge. A change in the transverse mode index is introduced, determined through modal curve fitting of frequency response functions.…”

A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data

“…where K D is the global stiffness matrix of the damaged structure ([n × n]) and φ (i) D is the i-th natural mode vector of the damaged structure ([n × 1]) corresponding to the ω D(i) natural frequency. Equation (2) forms the basis of the damage identification method used in the present study.…”

“…Structural damage identification has drawn increasing academic interest, as witnessed by the significant number of relevant journal and conference papers, during the recent years [1][2][3][4][5]. e necessity of detecting and repairing structural damage at its early stage has become imperative, and considerable effort has been devoted to developing nondestructive testing and evaluation (NDT&E) techniques [6].…”

Ambient Vibrations of Unreinforced Masonry Buildings in Dhaka City

“…The earthquake response measurements were effective in determining the fundamental frequencies and mode shapes of each building, which is traditionally regarded as the most important mode in the seismic design of engineered structures. Walsh et al (2014) investigated a new damage detection method based on the change in the first vertical mode extracted from the transverse direction of a prestress RC bridge. The mode was determined through application of modal curve fitting to frequency response functions (FRFs) using vertical response data obtained in the direction perpendicular to the bridge's longitudinal axis.…”