Structural health monitoring of glass fiber reinforced composites using embedded carbon nanotube (CNT) fibers

Autor: Philippe Poulin, Christèle Bartholome, Zaira P. Marioli-Riga, Nikolaos D. Alexopoulos
Přispěvatelé: Hellenic Aerospace Industry S.A. [Schimatari], Hellenic Aerospace Industry, University of the Aegean, Centre de recherches Paul Pascal (CRPP), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Zdroj: Composites Science and Technology
Composites Science and Technology, Elsevier, 2010, 70, pp. 260-271. ⟨10.1016/j.compscitech.2009.10.017⟩
ISSN: 0266-3538
DOI: 10.1016/j.compscitech.2009.10.017⟩
Popis: 12 pages; International audience; In the present work, carbon nanotube (CNT) fibers had been embedded to glass fiber reinforced polymers (GFRP) for the structural health monitoring of the composite material. The addition of the conductive CNT fiber to the non-conductive GFRP material aims to enhance its multi-function ability; the test specimen's response to mechanical load and the in situ CNT fiber's electrical resistance measurements were correlated for sensing and damage monitoring purposes. It is the first time this fiber is used in composite materials for sensing purposes; CNT fiber is easy to be embedded and does not downgrade the material's mechanical properties. Various incremental loading-unloading steps had been applied to the manufactured specimens in tension as well as in three-point bending tests. The CNT fiber worked as a sensor in both, tensile and compression loadings. A direct correlation between the mechanical loading and the electrical resistance change had been established for the investigated specimens. For high stress (or strain) level loadings, residual resistance measurements of the CNT fiber were observed after unloading. Accumulating damage to the composite material had been calculated and was correlated to the electrical resistance readings. The established correlation between these parameters changed according to the material's loading history.
Databáze: OpenAIRE