Fatigue damage evaluation of carbon fiber composite using aluminum foil based strain sensors

Abstract

For the development of a technique for cyclic deformation assessment with the use of aluminum foil sensors (with thickness of 80 μm) glued onto the specimen surface the fatigue tests of carbon fiber reinforced composites were carried out. The DSLR camera mounted onto an optical microscope was used for capturing the images of sensors to reflect strain induced relief, which than was numerically estimated using various informative parameters (Shannon entropy, mean square error, fractal dimension and Fourier-spectrum energy) in order to obtain the cyclic deformation assessment of composite. The results are discussed in view of application of this method for the development of structural health monitoring (SHM) approach.

Original language	English
Pages (from-to)	45-53
Number of pages	9
Journal	Engineering Fracture Mechanics
Volume	129
DOIs	https://doi.org/10.1016/j.engfracmech.2014.01.003
Publication status	Published - 1 Oct 2014

Keywords

Carbon fiber composite
Fatigue
Smart sensor
Structural health monitoring

ASJC Scopus subject areas

Materials Science(all)
Mechanics of Materials
Mechanical Engineering

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10.1016/j.engfracmech.2014.01.003

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title = "Fatigue damage evaluation of carbon fiber composite using aluminum foil based strain sensors",

abstract = "For the development of a technique for cyclic deformation assessment with the use of aluminum foil sensors (with thickness of 80 μm) glued onto the specimen surface the fatigue tests of carbon fiber reinforced composites were carried out. The DSLR camera mounted onto an optical microscope was used for capturing the images of sensors to reflect strain induced relief, which than was numerically estimated using various informative parameters (Shannon entropy, mean square error, fractal dimension and Fourier-spectrum energy) in order to obtain the cyclic deformation assessment of composite. The results are discussed in view of application of this method for the development of structural health monitoring (SHM) approach.",

keywords = "Carbon fiber composite, Fatigue, Smart sensor, Structural health monitoring",

author = "Panin, {S. V.} and Burkov, {M. V.} and Lyubutin, {P. S.} and Altukhov, {Yu A.} and Shakirov, {I. V.}",

year = "2014",

month = oct,

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doi = "10.1016/j.engfracmech.2014.01.003",

language = "English",

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publisher = "Elsevier BV",

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T1 - Fatigue damage evaluation of carbon fiber composite using aluminum foil based strain sensors

AU - Panin, S. V.

AU - Burkov, M. V.

AU - Lyubutin, P. S.

AU - Altukhov, Yu A.

AU - Shakirov, I. V.

PY - 2014/10/1

Y1 - 2014/10/1

N2 - For the development of a technique for cyclic deformation assessment with the use of aluminum foil sensors (with thickness of 80 μm) glued onto the specimen surface the fatigue tests of carbon fiber reinforced composites were carried out. The DSLR camera mounted onto an optical microscope was used for capturing the images of sensors to reflect strain induced relief, which than was numerically estimated using various informative parameters (Shannon entropy, mean square error, fractal dimension and Fourier-spectrum energy) in order to obtain the cyclic deformation assessment of composite. The results are discussed in view of application of this method for the development of structural health monitoring (SHM) approach.

AB - For the development of a technique for cyclic deformation assessment with the use of aluminum foil sensors (with thickness of 80 μm) glued onto the specimen surface the fatigue tests of carbon fiber reinforced composites were carried out. The DSLR camera mounted onto an optical microscope was used for capturing the images of sensors to reflect strain induced relief, which than was numerically estimated using various informative parameters (Shannon entropy, mean square error, fractal dimension and Fourier-spectrum energy) in order to obtain the cyclic deformation assessment of composite. The results are discussed in view of application of this method for the development of structural health monitoring (SHM) approach.

KW - Carbon fiber composite

KW - Fatigue

KW - Smart sensor

KW - Structural health monitoring

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