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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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Hybrid graphene/geopolymeric cement as a superionic conductor for structural health monitoring applications
AU - Saafi, Mohamed Ben Salem
AU - Piukovics, Gabor
AU - Ye, Jianqiao
N1 - 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
PY - 2016/9/20
Y1 - 2016/9/20
N2 - 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 arepresented. 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 structuralintegrity.
AB - 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 arepresented. 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 structuralintegrity.
KW - super ionic
KW - graphene
KW - geopolymer
KW - cement
KW - sensor
KW - structural health monitoring
U2 - 10.1088/0964-1726/25/10/105018
DO - 10.1088/0964-1726/25/10/105018
M3 - Journal article
VL - 25
JO - Smart Materials and Structures
JF - Smart Materials and Structures
SN - 0964-1726
IS - 10
M1 - 105018
ER -