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Proceedings Paper

Damage evaluation for concrete structures using fiber-reinforced composites as self-diagnosis materials
Author(s): Kenji Yoshitake; Keiji Shiba; Makoto Suzuki; Minoru Sugita; Yoshiki Okuhara
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Paper Abstract

Health monitoring techniques that utilize structural materials with the ability to diagnose their own condition, so-called self-diagnosis materials, have been under development. The authors have developed two types of electrically conductive fiber reinforced composite to diagnose cracks in concrete structures: a high sensitivity detection sensor and maximum strain memory sensor. Three points bending tests on pre-notched reinforced concrete beam under the cyclic loading is presented using these two self-diagnosis materials, with attention towards the relationship between crack width of the concrete beam and electric resistance. Moreover, effects of volume fraction of carbon particle on memorizing maximum strain are investigated. It has been proved that both self-diagnosis materials are highly effective to detect the cracks in the concrete. And present strain can be obtained by the proposed fiber reinforced plastic composites. Although volume fraction of carbon particle has significant influence on the characteristics of memorizing maximum strain, maximum strain of the concrete structures can be memorized using the appropriate self-diagnosis materials.

Paper Details

Date Published: 27 July 2004
PDF: 9 pages
Proc. SPIE 5384, Smart Structures and Materials 2004: Smart Sensor Technology and Measurement Systems, (27 July 2004); doi: 10.1117/12.539732
Show Author Affiliations
Kenji Yoshitake, Shimizu Corp. (Japan)
Keiji Shiba, Shimizu Corp. (Japan)
Makoto Suzuki, Ohsaki Research Institute (Japan)
Minoru Sugita, Ohsaki Research Institute (Japan)
Yoshiki Okuhara, Japan Fine Ceramics Ctr. (Japan)

Published in SPIE Proceedings Vol. 5384:
Smart Structures and Materials 2004: Smart Sensor Technology and Measurement Systems
Eric Udd; Daniele Inaudi, Editor(s)

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