Abstract
This study investigates the effects of temperature fluctuation on identification of damage in complex composite structures, using an inverse algorithm based on interrogation using Shannon entropy or kurtosis analysis of captured Lamb wave signals. The method uses mapping of damage signatures from individual sensing (actuator-sensor) paths to the probability values for the presence of damage at individual grids in the monitoring area enclosed by the piezoelectric actuator/ sensor network. The changes in Lamb wave signals induced by temperature fluctuation were characterized. A series of desynchronized signals were assessed in the construction of the probability images for evaluating the temperature stability of the algorithm. The experimental results demonstrated that the damage diagnostic imaging algorithm, integrated with a Shannon-entropy-based or kurtosis-based signal interrogation method, is capable of identifying damage in complex composite structures in the presence of temperature fluctuation.
Original language | English |
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Title of host publication | 7th Asian-Australasian Conference on Composite Materials 2010, ACCM 2010 |
Pages | 572-575 |
Number of pages | 4 |
Volume | 1 |
Publication status | Published - 2010 |
Externally published | Yes |
Event | Asian-Australian Conference on Composite Materials 2010 - Taipei, Taiwan Duration: 15 Nov 2010 → 18 Nov 2010 Conference number: 7th |
Conference
Conference | Asian-Australian Conference on Composite Materials 2010 |
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Abbreviated title | ACCM 2010 |
Country/Territory | Taiwan |
City | Taipei |
Period | 15/11/10 → 18/11/10 |
Keywords
- Composite structures
- Damage imaging
- Lamb waves
- Structural health monitoring
- Temperature effect