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Proceedings Paper

Fiber-reinforced composites as self-diagnosis materials for memorizing damage histories
Author(s): Yoshiki Okuhara; Byung-Koog Jang; Hideaki Matsubara; Minoru Sugita
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Paper Abstract

Electrically conductive fiber-reinforced composites have been designed in order to develop self-diagnosis materials with the ability to memorize damage histories. Irreversible resistance changes dependent on the strain histories of the composites were utilized to achieve this ability. Conductive fiber-reinforced plastics for memorizing maximum strain were prepared by adding carbon fibers or particles into the composites. Pre-tensile stresses in composites containing carbon fibers were found to effectively enhance their residual resistance and to significantly improve the limit of smallest detectable strains. The residual resistances of composites containing carbon particles connected by a percolation structure were found to depend strongly on the volume fractions of carbon particles; composites with high volume fractions of carbon displayed remarkable residual resistance without application of a pre-tensile stress. In order to memorize cumulative damage, composites consisting of a brittle titanium nitride ceramic wire laminated with glass fiber reinforced plastics were prepared. These composites were found to exhibit remarkable residual resistances that increased in proportion to the logarithm of the number of tensile cycles. These results suggest that a simple and low cost monitoring technique without real-time measurement system will be available in wide range of applications using these composites.

Paper Details

Date Published: 18 August 2003
PDF: 10 pages
Proc. SPIE 5057, Smart Structures and Materials 2003: Smart Systems and Nondestructive Evaluation for Civil Infrastructures, (18 August 2003); doi: 10.1117/12.482752
Show Author Affiliations
Yoshiki Okuhara, Japan Fine Ceramics Ctr. (Japan)
Byung-Koog Jang, Japan Fine Ceramics Ctr. (Japan)
Hideaki Matsubara, Japan Fine Ceramics Ctr. (Japan)
Minoru Sugita, Ohsaki Research Institute, Inc. (Japan)

Published in SPIE Proceedings Vol. 5057:
Smart Structures and Materials 2003: Smart Systems and Nondestructive Evaluation for Civil Infrastructures
Shih-Chi Liu, Editor(s)

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