Structural Damage Identification Method of Girder Bridges Based on Multilevel Data Fusion Theory

doi:10.1155/2022/9962169

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	Structural Damage Identification Method of Girder Bridges Based on Multilevel Data Fusion Theory
	Xiang, Chang-Sheng 2; Liu, Hai-Long 2; Zhou, Yu 1; Liu, Chen-Yu 2; Wang, Li-Xian 2
刊名	Advances in Materials Science and Engineering
	2022
卷号	2022
关键词	Damage detection Data fusion Energy dissipation Neural networks Strain rate Structural analysis Damage localization Data fusion methods Data fusion theory Girder bridges Modal curvatures Modal strain energy Multilevel data Second level Structural damage identification methods Third level
ISSN号	1687-8434
DOI	10.1155/2022/9962169
英文摘要	The single index based on modal strain energy and modal curvature is proved to be effective for damage localization, while its recognition accuracy is not satisfied and can not directly reflect damage degree. Therefore, multilevel data fusion methods are proposed here with three new indexes of modal strain energy dissipation rate (DR), change rate of cross-model modal strain energy (CR), and difference of modal curvature ratio (RD). Firstly, first-level, second-level, and third-level data fusion methods are deduced based on Bayes theory, weighted average criterion, and BP neural network, respectively. The first three order modes data of each index are fused in the first level, and their results are further fused between indexes in the second level, which will be applied for damage position judgement; moreover, results of the second level as input are last fused in the third level in order to predict structural damage degree. Secondly, a simply supported beam and a three-span continuous girder models are simulated to verify effectiveness of multilevel data fusion indexes. It can be concluded that the recognition results agree well with man-made damage cases whatever the positions or degrees are. Finally, a test study on a simply supported steel beam with different damage forms is carried out. The results show that the proposed multilevel data fusion methods have good abilities of sensitivity and anti-interference, are fault-tolerant, have robustness, and would provide certain effective experience for actual damage identification. © 2022 Chang-Sheng Xiang et al.
语种	英语
出版者	Hindawi Limited
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/158375]
专题	土木工程学院
作者单位	1.College of Civil Engineering, Anhui Jianzhu University, Hefei; 230601, China 2.School of Civil Engineering, Lanzhou University of Technology, Lanzhou; 730050, China;
推荐引用方式 GB/T 7714	Xiang, Chang-Sheng,Liu, Hai-Long,Zhou, Yu,et al. Structural Damage Identification Method of Girder Bridges Based on Multilevel Data Fusion Theory[J]. Advances in Materials Science and Engineering,2022,2022.
APA	Xiang, Chang-Sheng,Liu, Hai-Long,Zhou, Yu,Liu, Chen-Yu,&Wang, Li-Xian.(2022).Structural Damage Identification Method of Girder Bridges Based on Multilevel Data Fusion Theory.Advances in Materials Science and Engineering,2022.
MLA	Xiang, Chang-Sheng,et al."Structural Damage Identification Method of Girder Bridges Based on Multilevel Data Fusion Theory".Advances in Materials Science and Engineering 2022(2022).