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A data fusion based diagnostic methodology for in-situ debonding detection in beam-like honeycomb sandwich structures with fiber Bragg grating sensors
Yin, Jieming1,2; Wang, Zechao3; Liao, Wenlin4; Hong, Liu2; Ding, Yangyang2; Zhou, Zude2
2022-03-15
Source PublicationMeasurement: Journal of the International Measurement Confederation
ISSN0263-2241
Volume191Pages:110810
Abstract

The integrity of interfacial bonding in honeycomb sandwich should be diagnosed on regular basis. This paper develops a novel approach to diagnose debonding defects only employing strain measurements under ambient excitations. As debonding defects vary dynamics of the structure, the change ratio of strain modes is promising to indicate the defects. To address diagnostic errors caused by noises, a novel damage index is proposed based on Dempster–Shafer evidence theory, which works out a reasonable global decision from different orders of noisy strain mode shapes. Those modes are estimated by operational modal analysis motivating by the concept of rational fraction polynomial and transmissibility, which reduces the number of input condition and output fitting to single one. Fiber Bragg gratings are employed to capture the structural responses that can deploy as dense sensing nodes. As proof-of-concept testing, the proposed methodology is applied to a honeycomb sandwich beam with seeded debonding defects.

KeywordData Fusion Debonding Defect Diagnosis Fiber Bragg Grating Honeycomb Sandwich Structure
DOI10.1016/j.measurement.2022.110810
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering ; Instruments & Instrumentation
WOS SubjectEngineering, Multidisciplinary ; Instruments & Instrumentation
WOS IDWOS:000781102800005
PublisherELSEVIER SCI LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Scopus ID2-s2.0-85123939359
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Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Faculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Affiliation1.Hunan Vanguard Group Co., Ltd., Changsha, 410100, China
2.School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, 430070, China
3.State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao
4.China Aerodynamics Research and Development Centre, Mianyang, 621000, China
Recommended Citation
GB/T 7714
Yin, Jieming,Wang, Zechao,Liao, Wenlin,et al. A data fusion based diagnostic methodology for in-situ debonding detection in beam-like honeycomb sandwich structures with fiber Bragg grating sensors[J]. Measurement: Journal of the International Measurement Confederation, 2022, 191, 110810.
APA Yin, Jieming., Wang, Zechao., Liao, Wenlin., Hong, Liu., Ding, Yangyang., & Zhou, Zude (2022). A data fusion based diagnostic methodology for in-situ debonding detection in beam-like honeycomb sandwich structures with fiber Bragg grating sensors. Measurement: Journal of the International Measurement Confederation, 191, 110810.
MLA Yin, Jieming,et al."A data fusion based diagnostic methodology for in-situ debonding detection in beam-like honeycomb sandwich structures with fiber Bragg grating sensors".Measurement: Journal of the International Measurement Confederation 191(2022):110810.
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