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11 May 2017 Precursor to damage state quantification in composite materials (Conference Presentation)
Subir Patra, Sourav Banerjee
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Proceedings Volume 10170, Health Monitoring of Structural and Biological Systems 2017; 101701W (2017) https://doi.org/10.1117/12.2263477
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States
Abstract
Nonlinear damage in the composite materials is developed with the growth of damages in the material under fatigue loading. Nonlinear ultrasonic techniques are sensitive to early stage damages such as, fiber breakages, matrix micro-cracking, and deboning etc. Here, in this work, early stage damages are detected in Unidirectional (UD) carbon fiber composite under fatigue loading. Specimens are prepared according to American Society for Testing and Materials (ASTM) standard. Specimens are subjected to low cycle high load (LCHL) fatigue loading until 150,000 cycles. Sensors are mounted on the specimen used for actuation and sensing. A five count tone burst with low frequency (fc =375 kHz) followed by high frequency (fc =770 kHz) signal, was used as actuation signal. Pitch-catch experiments are collected at the interval of 5,000 cycles. Sensor signals are collected for various excitation voltage (from 5V to 20V, with 5V interval). First Fourier Transform (FFT) of the sensor signals are performed and side band frequencies are observed at around 770 kHz. Severity of damages in the material is quantified from the ratio of amplitude of side band frequencies with the central frequency. Nonlinearity in the material due to damage development is also investigated from the damage growth curve obtained at various excitation amplitude. Optical Microcopy imaging were also performed at the interval of 5,000 to examine developments of damages inside the material. This study has a good potential in detection of early stage damages in composite materials.
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Subir Patra and Sourav Banerjee "Precursor to damage state quantification in composite materials (Conference Presentation)", Proc. SPIE 10170, Health Monitoring of Structural and Biological Systems 2017, 101701W (11 May 2017); https://doi.org/10.1117/12.2263477
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KEYWORDS
Composites
Sensors
Carbon
Fourier transforms
Optical imaging
Sensor performance
Standards development
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