Phase Reversal Method for Damage Imaging in Composite Laminates Based on Data Fusion
Abstract
:1. Introduction
2. Materials and Methods
2.1. Phase-Reversal Method
2.2. Data Fusion
3. Results
3.1. Numerical Analysis Results
3.2. Experimental Results
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Thickness | E11 | E22 | G12 | G23 | v12 | v23 |
---|---|---|---|---|---|---|
1 mm | 178 GPa | 178 GPa | 5.2 GPa | 5.2 GPa | 0.34 | 0.34 |
x-Axis (Positive) | x-Axis (Negative) | y-Axis (Positive) | y-Axis (Negative) | |
---|---|---|---|---|
Sensor location | 15–35 mm | (−15)–(−35) mm | 15–35 mm | (−15)–(−35) mm |
Number of sensors | 21 | 21 | 21 | 21 |
x-Axis (Positive) | y-Axis (Positive) | |
---|---|---|
Sensor location | 15–35 mm | 15–35 mm |
Number of sensors | 21 | 21 |
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Han, W.; Feng, K.; Yang, H. Phase Reversal Method for Damage Imaging in Composite Laminates Based on Data Fusion. Appl. Sci. 2022, 12, 2894. https://doi.org/10.3390/app12062894
Han W, Feng K, Yang H. Phase Reversal Method for Damage Imaging in Composite Laminates Based on Data Fusion. Applied Sciences. 2022; 12(6):2894. https://doi.org/10.3390/app12062894
Chicago/Turabian StyleHan, Wei, Kan Feng, and Huagen Yang. 2022. "Phase Reversal Method for Damage Imaging in Composite Laminates Based on Data Fusion" Applied Sciences 12, no. 6: 2894. https://doi.org/10.3390/app12062894
APA StyleHan, W., Feng, K., & Yang, H. (2022). Phase Reversal Method for Damage Imaging in Composite Laminates Based on Data Fusion. Applied Sciences, 12(6), 2894. https://doi.org/10.3390/app12062894