Kinzel, E. C., Donnell, K. M., & Chandrashekhara, K. (2014). Structural health monitoring and remote sensing of transportation infrastructure using embedded frequency selective surfaces (Report No. NUTC R365). Missouri University of Science and Technology. Center for Transportation Infrastructure and Safety. https://rosap.ntl.bts.gov/view/dot/27988
Kinzel, Edward C., Kristen M. Donnell, and K. Chandrashekhara. Structural health monitoring and remote sensing of transportation infrastructure using embedded frequency selective surfaces. Report no. NUTC R365. Missouri University of Science and Technology. Center for Transportation Infrastructure and Safety, 2014. https://rosap.ntl.bts.gov/view/dot/27988.
Kinzel, Edward C., et al. Structural health monitoring and remote sensing of transportation infrastructure using embedded frequency selective surfaces. Missouri University of Science and Technology. Center for Transportation Infrastructure and Safety, 2014, Report no. NUTC R365, ROSA P. https://rosap.ntl.bts.gov/view/dot/27988.
The objective of this project was to investigate the use of Frequency Selective Surfaces (FSS) for structural health monitoring applications. Frequency Selective Surfaces (FSS) have long been used in the RF/microwave community to control scattering from surfaces. In our application, the scattering parameters of the FSS form a signature which is a function of the frequency, element size and spacing, as well as the local electromagnetic environment. These attributes can be related to engineering parameters of a transportation structure such as strain, temperature, moisture, and damage such as cracking or delamination. A key advantage of the FSS approach over other wireless sensors is that the FSS is completely passive, consisting only of conductive elements. This eliminates considerations related to integrating power/energy storage, as well as simplifying fabrication.
Kinzel, E. C., Donnell, K. M., & Chandrashekhara, K. (2014). Structural health monitoring and remote sensing of transportation infrastructure using embedded frequency selective surfaces (Report No. NUTC R365). Missouri University of Science and Technology. Center for Transportation Infrastructure and Safety. https://rosap.ntl.bts.gov/view/dot/27988
Kinzel, Edward C., Kristen M. Donnell, and K. Chandrashekhara. Structural health monitoring and remote sensing of transportation infrastructure using embedded frequency selective surfaces. Report no. NUTC R365. Missouri University of Science and Technology. Center for Transportation Infrastructure and Safety, 2014. https://rosap.ntl.bts.gov/view/dot/27988.
Kinzel, Edward C., et al. Structural health monitoring and remote sensing of transportation infrastructure using embedded frequency selective surfaces. Missouri University of Science and Technology. Center for Transportation Infrastructure and Safety, 2014, Report no. NUTC R365, ROSA P. https://rosap.ntl.bts.gov/view/dot/27988.
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