A data fusion based diagnostic methodology for in-situ debonding detection in beam-like honeycomb sandwich structures with fiber Bragg grating sensors. (15th March 2022)
- Record Type:
- Journal Article
- Title:
- A data fusion based diagnostic methodology for in-situ debonding detection in beam-like honeycomb sandwich structures with fiber Bragg grating sensors. (15th March 2022)
- Main Title:
- A data fusion based diagnostic methodology for in-situ debonding detection in beam-like honeycomb sandwich structures with fiber Bragg grating sensors
- Authors:
- Yin, Jieming
Wang, Zechao
Liao, Wenlin
Hong, Liu
Ding, Yangyang
Zhou, Zude - Abstract:
- Highlights: Theoretical model studies influences of debonding defect in honeycomb sandwich beam. Modified OMA extracts modal properties with a reduction in computational burden. Novel damage index based on D–S theory has good noise tolerance in diagnosis. FBG sensing array measures dynamic strain responses for facilitation of wiring layout. Experiments with seeded debonding validate performance of proposed diagnostic scheme. 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.
- Is Part Of:
- Measurement. Volume 191(2022)
- Journal:
- Measurement
- Issue:
- Volume 191(2022)
- Issue Display:
- Volume 191, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 191
- Issue:
- 2022
- Issue Sort Value:
- 2022-0191-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-03-15
- Subjects:
- Diagnosis -- Debonding defect -- Honeycomb sandwich structure -- Data fusion -- fiber Bragg grating
Weights and measures -- Periodicals
Measurement -- Periodicals
Measurement
Weights and measures
Periodicals
530.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02632241 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.measurement.2022.110810 ↗
- Languages:
- English
- ISSNs:
- 0263-2241
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5413.544700
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