@inproceedings{e9d49e179eec4bc19b7b6878376581a2,
title = "Structural damage diagnosis of steel truss bridges by outlier detection",
abstract = "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.",
author = "Kim, \{C. W.\} and S. Kitauchi and Chang, \{K. C.\} and Mcgetrick, \{P. J.\} and K. Sugiura and M. Kawatani",
year = "2013",
language = "English",
isbn = "9781138000865",
series = "Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013",
pages = "4631--4638",
booktitle = "Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013",
note = "11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 ; Conference date: 16-06-2013 Through 20-06-2013",
}