This study discusses structural damage diagnosis of real steel truss bridges by measuring trafficinduced vibration of bridges and utilizing a damage indicator derived from linear system parameters of a time series model. On-site damage experiments were carried out on real steel truss bridges. Artificial damage was applied to the bridge by severing a truss member with a cutting machine.Vehicle-induced vibrations of the bridges before and after applying damagewere measured and used in structural damage diagnosis of the bridges. Changes in the damage indicator are detected by Mahalanobis-Taguchi system (MTS) which is one of multivariate outlier analyses. The damage indicator and outlier detection was successfully applied to detect anomalies in the steel truss bridges utilizing vehicle-induced vibrations. Observations through this study demonstrate feasibility of the proposed approach for real world applications.
|Title of host publication||Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013|
|Editors||George Deodatis, Bruce R. Ellingwood, Dan M. Frangopol|
|Place of Publication||New York|
|Number of pages||8|
|Publication status||Published - 10 Feb 2014|
Kim, C. W., Kitauchi, S., Chang, K. C., Mcgetrick, P. J., Sugiura, K., & Kawatani, M. (2014). Structural damage diagnosis of steel truss bridges by outlier detection. In G. Deodatis, B. R. Ellingwood, & D. M. Frangopol (Eds.), Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 (pp. 4631-4638). CRC Press. https://www.crcpress.com/Safety-Reliability-Risk-and-Life-Cycle-Performance-of-Structures-and/Deodatis-Ellingwood-Frangopol/9781138000865