18 April 2023Electromechanical response analysis of self-sensing carbon fiber sandwich composites under low-velocity impacts using linear discriminant analysis
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Sandwich composites are vulnerable to low-velocity impacts that they are mainly exposed to. But non-destructive testing for sandwich composite is troublesome due to its discrete and inhomogeneous nature. This study investigates the damage severity of the non-conductive foam core sandwich composite using the electrical resistance change of Carbon fiber-reinforced plastics skins under impact. Four severity levels are paired to form 4C2 binary classifications, Single Linear Discriminant Analysis (LDA), using electrical resistance change as an input. By combining six Single LDAs’ probabilistic results into one system, this system can represent the specimen’s current state intuitively and diagnose the damage severity synthetically.
Juhyeong Jang andYoung-Bin Park
"Electromechanical response analysis of self-sensing carbon fiber sandwich composites under low-velocity impacts using linear discriminant analysis", Proc. SPIE 12487, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVII, 124871H (18 April 2023); https://doi.org/10.1117/12.2658590
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Juhyeong Jang, Young-Bin Park, "Electromechanical response analysis of self-sensing carbon fiber sandwich composites under low-velocity impacts using linear discriminant analysis," Proc. SPIE 12487, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVII, 124871H (18 April 2023); https://doi.org/10.1117/12.2658590