Abstract
The time of flight (TOF) features of Lamb waves have been widely applied to locate gross damage in plate structures, which may greatly facilitate the localization process when a sparse sensor network is adopted. Through a time-frequency analysis, this study extends the usage of TOF to nonlinear Lamb waves, taking advantage of their higher sensitivity to small-scale fatigue damage. The precision and practicality of using temporal signal features of linear and nonlinear Lamb waves for fatigue damage characterization are compared. Case studies are conducted on aluminum plates through numerical simulation and experiments, where miniature piezoelectric wafers are networked into a sparse array for Lamb wave excitation and acquisition. A probabilitybased imaging algorithm is then proposed to visualize damage. Finally, the comparison has motivated a synthesized scheme for locating fatigue damage in various conditions, enhancing the adaptivity of structural health monitoring for real-world applications.
Original language | English |
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Title of host publication | 7th European Workshop on Structural Health Monitoring, EWSHM 2014 - 2nd European Conference of the Prognostics and Health Management (PHM) Society |
Publisher | INRIA |
Pages | 732-739 |
Number of pages | 8 |
Publication status | Published - 1 Jan 2014 |
Event | 7th European Workshop on Structural Health Monitoring, EWSHM 2014 - Nantes, France Duration: 8 Jul 2014 → 11 Jul 2014 |
Conference
Conference | 7th European Workshop on Structural Health Monitoring, EWSHM 2014 |
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Country/Territory | France |
City | Nantes |
Period | 8/07/14 → 11/07/14 |
Keywords
- Fatigue damage
- Nonlinear Lamb waves
- Sparse sensor network
- Structural health monitoring
- Time of flight
ASJC Scopus subject areas
- Civil and Structural Engineering
- Safety, Risk, Reliability and Quality
- Building and Construction
- Computer Science Applications