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Predictions of the electro-mechanical response of conductive CNT-polymer composites

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Title: Predictions of the electro-mechanical response of conductive CNT-polymer composites
Authors: Tagarielli, V
Matos, MAS
Pinho, S
Baiz Villafranca, PM
Item Type: Journal Article
Abstract: We present finite element simulations to predict the conductivity, elastic response and strain-sensing capability of conductive composites comprising a polymeric matrix and carbon nanotubes. Realistic representative volume elements (RVE) of the microstructure are generated and both constituents are modelled as linear elastic solids, with resistivity independent of strain; the electrical contact between nanotubes is represented by a new element which accounts for quantum tunnelling effects and captures the sensitivity of conductivity to separation. Monte Carlo simulations are conducted and the sensitivity of the predictions to RVE size is explored. Predictions of modulus and conductivity are found in good agreement with published results. The strain-sensing capability of the material is explored for multiaxial strain states.
Issue Date: 1-May-2018
Date of Acceptance: 23-Feb-2018
URI: http://hdl.handle.net/10044/1/57531
DOI: 10.1016/j.jmps.2018.02.014
ISSN: 0022-5096
Publisher: Elsevier
Start Page: 84
End Page: 96
Journal / Book Title: Journal of the Mechanics and Physics of Solids
Volume: 114
Issue: 1
Copyright Statement: © 2018 Elsevier Ltd. All rights reserved. . This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 642890
Keywords: Science & Technology
Technology
Physical Sciences
Materials Science, Multidisciplinary
Mechanics
Physics, Condensed Matter
Materials Science
Physics
Strain-sensing
Carbon nanotube
Polymeric material
Finite elements
CARBON NANOTUBES
PIEZORESISTIVITY
DEFORMATION
Mechanical Engineering & Transports
01 Mathematical Sciences
02 Physical Sciences
09 Engineering
Publication Status: Published
Online Publication Date: 2018-02-24
Appears in Collections:Computing
Aeronautics
Faculty of Engineering