Title :
Spatial Sensing Using Electrical Impedance Tomography
Author :
Loyola, B.R. ; Saponara, V.L. ; Loh, K.J. ; Briggs, T.M. ; O´Bryan, G. ; Skinner, J.L.
Author_Institution :
Sandia Nat. Labs., Livermore, CA, USA
Abstract :
The need for structural health monitoring has become critical due to aging infrastructures, legacy airplanes, and continuous development of new structural technologies. Based on an updated structural design, there is a need for new structural health monitoring paradigms that can sense the presence, location, and severity with a single measurement. This paper focuses on the first step of this paradigm, consisting of applying a sprayed conductive carbon nanotube-polymer film upon glass fiber-reinforced polymer composite substrates. Electrical impedance tomography is performed to measure changes in conductivity within the conductive films because of damage. Simulated damage is a method for validation of this approach. Finally, electrical impedance tomography measurements are taken while the conductive films are subjected to tensile and compressive strain states. This demonstrates the ability of electrical impedance tomography for not only damage detection, but active structural monitoring as well. This paper acts as a first step toward moving the structural health monitoring paradigm toward large-scale deployable spatial sensing.
Keywords :
carbon nanotubes; condition monitoring; electric impedance imaging; glass fibre reinforced composites; polymers; sensors; active structural monitoring; compressive strain; conductive films; conductivity change; damage detection; electrical impedance tomography; glass fiber reinforced polymer composite substrate; large scale deployable spatial sensing; sprayed conductive carbon nanotube-polymer film; structural health monitoring; tensile strain; Conductivity; Electrical resistance measurement; Electrodes; Films; Strain; Tomography; Voltage measurement; Carbon nanotubes (CNTs); electrical impedance tomography (EIT); nanocomposites; structural health monitoring (SHM);
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2013.2253456