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Mathematical Problems in Engineering
Volume 2013, Article ID 490372, 7 pages
Research Article

Damage Detection of Bridge Structure Based on SVM

1College of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
2Transportation Management College, Dalian Maritime University, Dalian 116026, China
3China Academy of Civil Aviation Science and Technology, Beijing 100028, China
4Yanching Institute of Technology, Beijing 065201, China

Received 26 September 2013; Revised 17 October 2013; Accepted 17 October 2013

Academic Editor: Rui Mu

Copyright © 2013 Yaojin Bao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


For bridge management and maintenance, it is important to detect the damage of bridge pier. Due to the complexity of damage detection, an effective method is very interesting. Support vector machine (SVM) is used to detect the damage of bridge pier in this paper. To improve the detection accuracy of SVM, Grubbs’ test method is adopted to delete the outliers for SVM. Then, a numerical analysis is used to determine the input parameters for SVM. Lastly, the comparison results between the proposed SVM and the actual measure value suggested that the proposed SVM is a powerful tool for detecting damage of bridge pier.