Sensing trouble: New way to detect hidden damage in bridges, roads

Several years ago, Erik Thostenson and Thomas Schumacher, both affiliated faculty members in the University of Delaware's Center for Composite Materials, began to explore the use of carbon nanotube composites as a kind of "smart skin" for structures.

Now, they have improved on this approach with the addition of another technique called electrical impedance tomography (EIT), which uses surface electrode measurements to create an image of the conductivity of a material or structure. While EIT has been used as a noninvasive medical imaging technique since the 1980s, it has largely been overlooked by the structural health monitoring community.

The UD team's development of the new approach, which applies EIT to a distributed carbon-nanotube-based sensor, is documented in a paper published in the Journal of Nondestructive Evaluation in June.

"While the feasibility of employing carbon-nanotube-based composites as sensors has been validated, the typical approach is to use a series of one-dimensional measurements collected from a two-dimensional sensing area," says Thostenson, whose expertise lies in processing and characterization of composites for sensor applications. "The problem is that this confines the possible damage locations to the grid points of the measurements. EIT, on the other hand, is a true 2-D algorithm."

The nanotube composite sensor can be adhered to virtually any shape to detect damage and to show its location within the material or structure. Other advantages are that it is mechanically robust and that its electrical properties are isotropic, or the same in all directions.

For Schumacher, a structural engineering researcher who envisions using the technique on in-service structures, major benefits of the new sensing technique are that it can be scaled up and that it is relatively inexpensive, as it doesn't require a large quantity of carbon nanotubes.

The recent paper documents the team's initial evaluation of the methodology, first by introducing well-defined damage and then by investigating a more realistic damage scenario to show the capability of the approach to detect impact damage on a composite laminate. The resulting EIT maps were then compared to visual inspection and thermograms taken with an infrared camera.

"Although we did encounter some issues with the size of cracks being overestimated and their shapes not being well represented, overall our EIT methodology was able to detect the initiation of damage well before it was visible with infrared thermography," Schumacher says. "We are in the process of making improvements to the EIT algorithm to increase its accuracy. After that, we plan to demonstrate it in the laboratory, with an aim toward scaling it up for future monitoring of real structures."