TY - JOUR
T1 - Electromechanical modelling of a new class of nanocomposite cement-based sensors for structural health monitoring
AU - D’Alessandro, Antonella
AU - Ubertini, Filippo
AU - Materazzi, Annibale Luigi
AU - Laflamme, Simon
AU - Porfiri, Maurizio
N1 - Publisher Copyright:
© The Author(s) 2014
PY - 2015/3/26
Y1 - 2015/3/26
N2 - This work focuses on the analysis of a new nanocomposite cement-based sensor (carbon nanotube cement-based sensor), for applications in vibration-based structural health monitoring of civil engineering structures. The sensor is constituted of a cement paste doped with multi-walled carbon nanotubes, so that mechanical deformations produce a measurable change of the electrical resistance. Prior work of some of the authors has addressed the fabrication process, dynamic behaviour and implementation to full-scale structural components. Here, we investigate the effectiveness of a linear lumped-circuit electromechanical model, in which dynamic sensing is associated with a strain-dependent modulation of the internal resistance. Salient circuit parameters are identified from a series of experiments where the distance between the electrodes is parametrically varied. Experimental results indicate that the lumped-circuit model is capable of accurately predicting the step response to a voltage input and its steady-state response to a harmonic uniaxial deformation. Importantly, the model is successful in anticipating the presence of a superharmonic component in sensor’s output.
AB - This work focuses on the analysis of a new nanocomposite cement-based sensor (carbon nanotube cement-based sensor), for applications in vibration-based structural health monitoring of civil engineering structures. The sensor is constituted of a cement paste doped with multi-walled carbon nanotubes, so that mechanical deformations produce a measurable change of the electrical resistance. Prior work of some of the authors has addressed the fabrication process, dynamic behaviour and implementation to full-scale structural components. Here, we investigate the effectiveness of a linear lumped-circuit electromechanical model, in which dynamic sensing is associated with a strain-dependent modulation of the internal resistance. Salient circuit parameters are identified from a series of experiments where the distance between the electrodes is parametrically varied. Experimental results indicate that the lumped-circuit model is capable of accurately predicting the step response to a voltage input and its steady-state response to a harmonic uniaxial deformation. Importantly, the model is successful in anticipating the presence of a superharmonic component in sensor’s output.
KW - Carbon nanotubes
KW - electromechanical model
KW - nanotechnology
KW - smart materials
KW - smart sensors
KW - structural health monitoring
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U2 - 10.1177/1475921714560071
DO - 10.1177/1475921714560071
M3 - Article
AN - SCOPUS:84923653087
SN - 1475-9217
VL - 14
SP - 137
EP - 147
JO - Structural Health Monitoring
JF - Structural Health Monitoring
IS - 2
ER -