Flexibility-based damage detection for in-service highway bridge

Abstract

Highway bridges are the backbones of a country's road network infrastructure. In order to efficiently maintain these important structures, structural health monitoring (SHM) can be implemented to impart a more deterministic management procedure. To date, many damage detection strategies have been developed and implemented on lab-scale or simple bridge structures however, damage detection research has rarely been conducted taking full scale in-service structures into account with ambient vibration. Among the different approaches modal flexibility method is one of the sensitive tools for damage detection which has been widely used over the last two decades. This paper presents a damage detection based on the stochastic damage locating vector (SDLV) method for an in-service highway bridge using ambient vibration data from long-term SHM. The target bridge was equipped with a long-term SHM system as a part of a research project of the University of Connecticut. The ambient vibration data during 2001 and 2005 are used to identify the damage on the highway bridge. Finally, the potential damage locations are determined using the SDLV method with the limited number of sensors.