‘Sensing Skin’ Quickly Detects Cracks, Damage in Concrete Structures
For Immediate Release
Researchers from North Carolina State University and the University of Eastern Finland have developed new “sensing skin” technology designed to serve as an early warning system for concrete structures, allowing authorities to respond quickly to damage in everything from nuclear facilities to bridges.
“The sensing skin could be used for a wide range of structures, but the impetus for the work was to help ensure the integrity of critical infrastructure such as nuclear waste storage facilities,” says Dr. Mohammad Pour-Ghaz, an assistant professor of civil, construction and environmental engineering at NC State and co-author of a paper describing the work.
“The idea is to identify problems quickly so that they can be addressed before they become big problems and – in the case of some critical infrastructure – so that public safety measures can be implemented,” Pour-Ghaz says.
The skin is an electrically conductive coat of paint that can be applied to new or existing structures. The paint can incorporate any number of conductive materials, such as copper, making it relatively inexpensive.
Electrodes are applied around the perimeter of a structure. The sensing skin is then painted onto the structure, over the electrodes. A computer program then runs a small current between two of the electrodes at a time, cycling through a number of possible electrode combinations.
Every time the current runs between two electrodes, a computer monitors and records the electrical potential at all of the electrodes on the structure. This data is then used to calculate the sensing skin’s spatially distributed electrical conductivity. If the skin’s conductivity decreases, that means the structure has cracked or been otherwise damaged.
The researchers have developed a suite of algorithms that allow them to both register damage and to determine where the damage has taken place.
“Determining the location of the damage based on the measured electrode potentials is a challenging mathematical problem,” says Dr. Aku Seppänen, an Academy Research Fellow in the Department of Applied Physics at the University of Eastern Finland and co-author of the paper. “We had to develop new computational methods to more reliably determine where the damage is. Ultimately, I think our work represents an advance over previous algorithms in terms of accuracy.”
The researchers have demonstrated the effectiveness and accuracy of the sensing skin on a small scale, using concrete beams less than a meter wide.
“Our next step is to extend this to large geometries,” Pour-Ghaz says. “We want to show that this will work on real-world structures.”
The paper, “Electrical impedance tomography-based sensing skin for quantitative imaging of damage in concrete,” was published online June 18 in the journal Smart Materials and Structures. The research was supported in part by the Academy of Finland.
Note to Editors: The study abstract follows.
“Electrical impedance tomography-based sensing skin for quantitative imaging of damage in concrete”
Authors: Milad Hallaji and Mohammad Pour-Ghaz, North Carolina State University; Aku Seppänen, University of Eastern Finland
Published: online June 18, in Smart Materials and Structures
Abstract: In this paper, a large-area sensing skin for damage detection in concrete structures is developed. The developed sensing skin consists of a thin layer of electrically conductive copper paint that is applied to the surface of the concrete. Cracking of the concrete substrate results in the rupture of the sensing skin, decreasing the electrical conductivity of the sensing skin locally. The decrease of the conductivity is detected with Electrical Impedance Tomography (EIT) imaging. In previous works, electrically-based sensing skins have provided only qualitative information on the damage on the substrate surface. In this paper, we study whether quantitative imaging of the damage is possible. We utilize application-specific models and computational methods in the image reconstruction, including Total Variation (TV) prior model for the damage and an approximate correction of the modeling errors caused by the inhomogeneity of the painted sensing skin. The developed damage detection method is tested experimentally by applying the sensing skin to polymeric substrates and a reinforced concrete beam under four-point bending. In all test cases, the EIT-based sensing skin provides quantitative information on cracks/other damages on the substrate surface – featuring a very low conductivity in the locations of the damages, and indicating the lengths and shapes of the cracks reliably. The results strongly support the applicability of the painted EIT-based sensing skin for damage detection in reinforced concrete elements and other substrates.