Internal Damage Identification of Sandwich Panels With Truss Core Through Dynamic Properties and Deep Learning

doi:10.3389/fmats.2020.00301

CORC > 力学研究所 > 中国科学院力学研究所 > 流固耦合系统力学重点实验室(2012-)

	Internal Damage Identification of Sandwich Panels With Truss Core Through Dynamic Properties and Deep Learning
	Lu LL(路玲玲)4; Wang YB(王亚博)4; Bi JQ 3; Liu C 2; Song HW(宋宏伟)4; Huang CG(黄晨光)1
刊名	FRONTIERS IN MATERIALS
	2020-09-25
卷号	7 页码:11
关键词	sandwich panel with truss core damage identification deep learning vibration-based damage index feature extraction
ISSN号	2296-8016
DOI	10.3389/fmats.2020.00301
通讯作者	Song, Hongwei(songhw@imech.ac.cn)
英文摘要	For sandwich panels with truss core, the weakest part is the low-density core; therefore, some effective damage identification methods have been previously proposed for sandwich panels. However, these studies have mainly focused on damage location identification and only a few studies have discussed detection of the extent of the damage. In this study, a damage identification method integrating a deep learning technique with dynamic properties is proposed to identify both the location and extent of internal damage in sandwich panels with truss core. An analytical model verified by experiments based on a laser vibrometer is used to obtain raw data, which can generate various levels of damage inside the two face sheets. Instead of using surface photographs or raw data as the deep learning training dataset, the dataset is constructed using damage indices. By combining this with an analytical model, a dataset of specimens with various defects was collected and used as the input for the neural networks. The ability to identify the locations of damage and the extent of damage was used to evaluate the effectiveness of the proposed technique. The results show that the proposed method could be used to identify the location and extent of internal damage accurately.
分类号	二类
资助项目	National Natural Science Foundation of China[11472276] ; National Natural Science Foundation of China[11972033] ; National Natural Science Foundation of China[11332011] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA22000000]
WOS关键词	FLUIDELASTIC INSTABILITY ; STRUCTURAL PERFORMANCE ; BEHAVIOR
WOS研究方向	Materials Science
语种	英语
WOS记录号	WOS:000577883700001
资助机构	National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
其他责任者	Song, Hongwei
内容类型	期刊论文
源URL	[http://dspace.imech.ac.cn/handle/311007/85366]
专题	力学研究所_流固耦合系统力学重点实验室(2012-)
作者单位	1.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei, Peoples R China 2.Stanford Univ, Dept Aeronaut & Astronaut, Stanford, CA 94305 USA; 3.Army Acad Armored Forces, Dept Informat Engn, Beijing, Peoples R China; 4.Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing, Peoples R China;
推荐引用方式 GB/T 7714	Lu LL,Wang YB,Bi JQ,et al. Internal Damage Identification of Sandwich Panels With Truss Core Through Dynamic Properties and Deep Learning[J]. FRONTIERS IN MATERIALS,2020,7:11.
APA	路玲玲,王亚博,Bi JQ,Liu C,宋宏伟,&黄晨光.(2020).Internal Damage Identification of Sandwich Panels With Truss Core Through Dynamic Properties and Deep Learning.FRONTIERS IN MATERIALS,7,11.
MLA	路玲玲,et al."Internal Damage Identification of Sandwich Panels With Truss Core Through Dynamic Properties and Deep Learning".FRONTIERS IN MATERIALS 7(2020):11.