Quantitative evaluation of CFRP and CFGFRP hybrid composites as a maximum strain memory sensor

Dong Yeul Song; Nobuo Takeda; Akihiko Kitano; Kenichi Yoshioka

doi:10.1117/12.388111

12 June 2000 Quantitative evaluation of CFRP and CFGFRP hybrid composites as a maximum strain memory sensor

Dong Yeul Song, Nobuo Takeda, Akihiko Kitano, Kenichi Yoshioka

Proceedings Volume 3986, Smart Structures and Materials 2000: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials; (2000) https://doi.org/10.1117/12.388111
Event: SPIE's 7th Annual International Symposium on Smart Structures and Materials, 2000, Newport Beach, CA, United States

Abstract

This paper studies the correlation between mechanical deformation, damage behavior and the change of electric resistance for unidirectional CFRP and CFGFRP (carbon fiber/glass fiber reinforced plastics) composites. This study is performed using experimental and numerical methods, and the results of two methods are compared. The change of electrical resistance is measured under the condition of simple tension and repeated loading-unloading, and the failure process of two types of CFRP is investigated using an optical microscope. A Monte Carlo simulation is performed to predict the change in electrical resistance due to strain and damage (fracture) of carbon fibers. Through these studies, it is revealed that the change of electrical resistance had a close relation with the damage process and there is a good agreement between experimental and predicted results. It is also suggested that this detecting technique is applicable to the health- monitoring of composite structures.

Citation Download Citation

Dong Yeul Song, Nobuo Takeda, Akihiko Kitano, and Kenichi Yoshioka "Quantitative evaluation of CFRP and CFGFRP hybrid composites as a maximum strain memory sensor", Proc. SPIE 3986, Smart Structures and Materials 2000: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials, (12 June 2000); https://doi.org/10.1117/12.388111

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