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    Rights statement: This is an author-created, un-copyedited version of an article accepted for publication/published in Smart Materials and Structures. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at doi: 10.1088/0964-1726/25/10/105018

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Hybrid graphene/geopolymeric cement as a superionic conductor for structural health monitoring applications

Research output: Contribution to journalJournal articlepeer-review

Published
Article number105018
<mark>Journal publication date</mark>20/09/2016
<mark>Journal</mark>Smart Materials and Structures
Issue number10
Volume25
Number of pages11
Publication StatusPublished
<mark>Original language</mark>English

Abstract

In this paper, we demonstrate for the first time a novel hybrid superionic long gauge sensor for structural health monitoring applications. The sensor consists of two graphene electrodes and a superionic conductor film made entirely of fly ash geopolymeric material. The sensor employs ion hopping as a conduction mechanism for high precision temperature and tensile strain sensing in structures. The design, fabrication and characterization of the sensor are
presented. The temperature and strain sensing mechanisms of the sensor are also discussed.
The experimental results revealed that the crystal structure of the superionic film is a 3D sodium-poly(sialate-siloxo) (Na-PSS) framework, with a room temperature ionic conductivity between 1.54 x 10-2 and 1.72 x 10-2 S/m and, activation energy of 0.156 eV, which supports the notion that ion hopping is the main conduction mechanism for the sensor.
The sensor showed high sensitivity to both temperature and tensile strain. The sensor exhibited temperature sensitivity as high as 21.5 kΩ/oC and tensile strain sensitivity (i.e.,gauge factor) as high as 358. The proposed sensor is relatively inexpensive and can easily be manufactured with long gauges to measure temperature and bulk strains in structures. With some further development and characterization, the sensor can be retrofitted onto existing structures such as bridges, buildings, pipelines and wind turbines to monitor their structural
integrity.

Bibliographic note

This is an author-created, un-copyedited version of an article accepted for publication/published in Smart Materials and Structures. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at doi: 10.1088/0964-1726/25/10/105018