In this study, we investigate the interactions of Lamb wave A0 mode with different sizes of delaminations in composites using finite element code Abaqus®. According to Lamb wave dispersion curves, the group velocity of A0 mode increases rapidly as the frequency-thickness increases in the relatively low frequency region. In the delamination region, the frequency-thickness product decreases compared to the healthy laminate since the damage causes ply separation at the lamina interface. In the current study this observation is investigated in detail using finite element simulations. The resulting phase delay is analyzed by Empirical Mode Decomposition (EMD) and instantaneous phase approach. Finite element simulations are performed using Abaqus® and signal processing is performed in joint time-frequency domain using Hilbert-Huang Transform (HHT) method. The unwrapped instantaneous phase difference is correlated with the extent of delamination (quantitative level of damage).
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ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 19–21, 2012
Stone Mountain, Georgia, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-4509-7
PROCEEDINGS PAPER
Lamb Wave Instantaneous Phase Based Method for Quantitative Level of Delamination Damage in Composite Structures Available to Purchase
Dulip Samaratunga,
Dulip Samaratunga
Clarkson University, Potsdam, NY
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Ruisheng Wang,
Ruisheng Wang
Clarkson University, Potsdam, NY
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Ratneshwar Jha
Ratneshwar Jha
Clarkson University, Potsdam, NY
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Dulip Samaratunga
Clarkson University, Potsdam, NY
Ruisheng Wang
Clarkson University, Potsdam, NY
Ratneshwar Jha
Clarkson University, Potsdam, NY
Paper No:
SMASIS2012-8216, pp. 891-895; 5 pages
Published Online:
July 24, 2013
Citation
Samaratunga, D, Wang, R, & Jha, R. "Lamb Wave Instantaneous Phase Based Method for Quantitative Level of Delamination Damage in Composite Structures." Proceedings of the ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Structural Health Monitoring. Stone Mountain, Georgia, USA. September 19–21, 2012. pp. 891-895. ASME. https://doi.org/10.1115/SMASIS2012-8216
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