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Conductive Filler Modified Polymers for Structural Health Monitoring Applications Open Access


Other title
Structural Health Monitoring
Type of item
Degree grantor
University of Alberta
Author or creator
Biabangard Oskouyi, Amirhossein
Supervisor and department
Sundararaj, Uttandaraman (Chemical & Petroleum Engineering, University of Calgary)
Mertiny, Pierre (Mechanical Engineering)
Examining committee member and department
Sameoto, Dan (Mechanical Engineering)
Choi, Phillip (Chemical & Materials Engineering)
Carey, Jason (Mechanical Engineering)
Naguib, Hani (Mechanical & Material Engineering, University of Toronto)
Nobes, David (Mechanical Engineering)
Department of Mechanical Engineering

Date accepted
Graduation date
Doctor of Philosophy
Degree level
In this thesis, a novel three-dimensional continuum percolation model based on Monte Carlo simulation approach was developed and employed to investigate the percolation behavior of the electrically insulating matrix reinforced with conductive nanoplatelet fillers such as graphene. The conductivity behavior of composites rendered conductive by randomly dispersed conductive platelets was modeled by developing a three-dimensional finite element resistor network. Parameters related to the percolation threshold and a power-law describing the conductivity behavior were determined. The piezoresistivity behavior of conductive composites was studied employing a reoriented resistor network emulating a conductive composite subjected to mechanical strain. The effects of the governing parameters, i.e., electron tunneling distance, conductive particle aspect ratio and size effects on conductivity behavior were examined. In this thesis, a numerical modeling approach was used to investigate the current-voltage behavior of conductive nanoplatelet based nanocomposites. A nonlinear finite element based model was developed to evaluate the electrical behavior of the nanocomposite for different levels of the applied electric field. Furthermore, the effect of filler loading on nonlinear conductivity behavior of nanocomposites was investigated. The validity of the developed model was verified through qualitative comparison of the simulation results with results obtained from experimental works. The effect of temperature on electrical conductivity of polymer nanocomposites with carbon nanotube and graphene nanoplatelet fillers was investigated. Other aspects such as polymer tunneling and filler resistivities were also considered as.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
A. B. Oskouyi and P. Mertiny, “Monte Carlo model for the study of percolation thresholds in composites filled with circular conductive nano-disks,” Procedia Engineering, vol. 10, 403-408.A. B. Oskouyi, U. Sundararaj, P. Mertiny , “Tunneling Conductivity and Piezoresistivity of Composites Containing Randomly Dispersed Conductive Nano-Platelets,” Journal of Materials, vol. 7, issue 4, 2501-2521.A. B. Oskouyi, U. Sundararaj, P. Mertiny , “Current-voltage characteristics of nanoplatelet-based conductive nanocomposites,” Journal of Nanoscale Research Letters 2014, 9:369.A. B. Oskouyi, U. Sundararaj, P. Mertiny , “A Numerical Model to Study the Effect of Temperature on Electrical Conductivity of Polymer-CNT Nanocomposites,” ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013.

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