Structure Damage Identification Based on Information Entropy and Bayesian Fusion

doi:10.1155/2022/2384202

CORC > 兰州理工大学 > 兰州理工大学 > 土木工程学院

	Structure Damage Identification Based on Information Entropy and Bayesian Fusion
	Xiang, Chang-Sheng 1,2; Liu, Hai-Long 2; Liu, Chen-Yu 2; Zhou, Yu 3; Wang, Li-Xian 1,2
刊名	Mathematical Problems in Engineering
	2022
卷号	2022
关键词	Damage detection Data fusion Signal processing Structural analysis Damage Identification Data fusion theory Entropy fusion Entropy indices Entropy weights Fusion entropy Fusion indices Index weight Information entropy Structure damage
ISSN号	1024-123X
DOI	10.1155/2022/2384202
英文摘要	When processing signals, information entropy theory and data fusion theory have their own advantages. The former can improve the sensitivity of signals, while the latter can superimpose multisource information to correct system deviations and obtain the best identification results. Therefore, we introduce two theories into structural damage identification to improve the reliability of damage identification. First, based on the modal strain energy damage identification index, combined with information entropy and data fusion theory, a fusion entropy index (FE) and an entropy weight fusion index (EWF) are constructed. Then, the simply supported beam and truss structure model are established for damage simulation, which verified that the FE index and EWF index can accurately locate the damage. The polynomial fitting method is used to identify the damage degree of the structure, and the identification results obtained are more accurate. Finally, a simple-supported steel beam model is established in the laboratory for verification and analysis. The results show that the proposed FE index and EWF index have high damage sensitivity, noise resistance, and robustness, and relatively speaking, EWF index damage recognition ability is better. The method proposed in this paper provides an empirical method for practical engineering application. © 2022 Chang-Sheng Xiang et al.
WOS研究方向	Engineering ; Mathematics
语种	英语
出版者	Hindawi Limited
WOS记录号	WOS:000831624800003
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/159412]
专题	土木工程学院
作者单位	1.Western Engineering Research Center of Disaster Mitigation in Civil Engineering, Ministry of Education, Lanzhou; 730050, China; 2.School of Civil Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 3.College of Civil Engineering, Anhui Jianzhu University, Hefei; 230601, China
推荐引用方式 GB/T 7714	Xiang, Chang-Sheng,Liu, Hai-Long,Liu, Chen-Yu,et al. Structure Damage Identification Based on Information Entropy and Bayesian Fusion[J]. Mathematical Problems in Engineering,2022,2022.
APA	Xiang, Chang-Sheng,Liu, Hai-Long,Liu, Chen-Yu,Zhou, Yu,&Wang, Li-Xian.(2022).Structure Damage Identification Based on Information Entropy and Bayesian Fusion.Mathematical Problems in Engineering,2022.
MLA	Xiang, Chang-Sheng,et al."Structure Damage Identification Based on Information Entropy and Bayesian Fusion".Mathematical Problems in Engineering 2022(2022).