Structure Damage Identification Based on Information Entropy and Bayesian Fusion

doi:10.1155/2022/2384202

IR > 土木工程学院

	Structure Damage Identification Based on Information Entropy and Bayesian Fusion
	Xiang, Chang-Sheng 1,2; Liu, Hai-Long 1; Liu, Chen-Yu 1; Zhou, Yu 3; Wang, Li-Xian1,2
	2022-07-01
发表期刊	Mathematical Problems in Engineering
ISSN	1024-123X
卷号	2022
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.
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
DOI	10.1155/2022/2384202
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Engineering ; Mathematics
WOS类目	Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS记录号	WOS:000831624800003
出版者	Hindawi Limited
EI入藏号	20222912363636
EI主题词	Strain energy
EI分类号	408.1 Structural Design, General - 716.1 Information Theory and Signal Processing - 723.2 Data Processing and Image Processing - 931.1 Mechanics
来源库	WOS
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/159412
专题	土木工程学院
通讯作者	Liu, Hai-Long
作者单位	1.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730050, Peoples R China; 2.Minist Educ, Western Engn Res Ctr Disaster Mitigat Civil Engn, Lanzhou 730050, Peoples R China; 3.Anhui Jianzhu Univ, Coll Civil Engn, Hefei 230601, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
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).