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Matrix Crack Detection in Composite Plate with Spatially Random Material Properties using Fractal Dimension

K. Umesh1, R. Ganguli1

1 Department of Aerospace Engineering, Indian Institute of Science, Bangalore 560012, India.

Computers, Materials & Continua 2014, 41(3), 215-240. https://doi.org/10.3970/cmc.2014.041.215

Abstract

Fractal dimension based damage detection method is investigated for a composite plate with random material properties. Composite material shows spatially varying random material properties because of complex manufacturing processes. Matrix cracks are considered as damage in the composite plate. Such cracks are often seen as the initial damage mechanism in composites under fatigue loading and also occur due to low velocity impact. Static deflection of the cantilevered composite plate with uniform loading is calculated using the finite element method. Damage detection is carried out based on sliding window fractal dimension operator using the static deflection. Two dimensional homogeneous Gaussian random field is generated using Karhunen-Loeve (KL) expansion to represent the spatial variation of composite material property. The robustness of fractal dimension based damage detection method is demonstrated considering the composite material properties as a two dimensional random field.

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APA Style
Umesh, K., Ganguli, R. (2014). Matrix crack detection in composite plate with spatially random material properties using fractal dimension. Computers, Materials & Continua, 41(3), 215-240. https://doi.org/10.3970/cmc.2014.041.215
Vancouver Style
Umesh K, Ganguli R. Matrix crack detection in composite plate with spatially random material properties using fractal dimension. Comput Mater Contin. 2014;41(3):215-240 https://doi.org/10.3970/cmc.2014.041.215
IEEE Style
K. Umesh and R. Ganguli, “Matrix Crack Detection in Composite Plate with Spatially Random Material Properties using Fractal Dimension,” Comput. Mater. Contin., vol. 41, no. 3, pp. 215-240, 2014. https://doi.org/10.3970/cmc.2014.041.215



cc Copyright © 2014 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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