Abstract
The interest in composite repair technologies has been recently increased following the wide applications of composite materials in aerospace industry. Bonded repair patch technology provides an alternative to mechanically fastened repairs with significantly higher performance. The work here demonstrates two case studies: a woven composite panel repaired with an external composite patch and a woven composite panel with a scarf repair that minimises discontinuities and provides smoother surface. In the first case, piezoelectric transducers were utilized in order to excite low frequency Lamb waves while the panel was tested under static tensile loading. In the second case, piezoelectric (PZT) transducers were surface bonded and the propagation of the first anti-symmetric Lamb waves mode was investigated while the panel was subjected to fatigue loading. Along with Lamb wave testing, additional techniques were used to monitor the extent of the developed damage such as 3-dimensional Digital Image Correlation, X-ray radiography and optical microscopic analysis. All signals in both cases were further processed with outlier analysis and linear and non linear principal component analysis in order to develop an appropriate damage prognosis strategy. The current work identifies the problems of the traditionally used novelty detection approaches and proposes solutions through the concept of principal curves and appropriate feature extraction techniques. © 2013 SPIE.
Original language | English |
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Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering|Proc SPIE Int Soc Opt Eng |
Volume | 8695 |
DOIs | |
Publication status | Published - 2013 |
Event | SPIE Conference on Health Monitoring of Structural and Biological Systems 2013 - San Diego, CA Duration: 1 Jul 2013 → … |
Conference
Conference | SPIE Conference on Health Monitoring of Structural and Biological Systems 2013 |
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City | San Diego, CA |
Period | 1/07/13 → … |
Keywords
- Composite repairs
- Digital image correlation
- Lamb waves
- Outlier analysis
- Principal component analysis