Damage Detection of Bridge Structure Based on SVM. (17th December 2013)

• Record Type: Journal Article
• Authors: Bao, Yaojin; Song, Chenjin; Wang, Wensi; Ye, Ting; Wang, Lu; Yu, Lan
• Other Names: Mu Rui Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2013(2013)
• Publication Date: 2013-12-17
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2013/490372
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.