Dual Parameter FSS-Based Sensing for Structural Health Monitoring Applications

Frequency Selective Surfaces (FSSs) are periodic arrays of conductive elements or apertures that reflect and/or transmit incident electromagnetic energy. Their response depends on parameters such as element shape, unit cell dimensions, dielectric properties, and the local environment, making them suitable for structural health monitoring (SHM) applications. This paper presents a dual-parameter FSS-based sensor design capable of measuring small-scale uni-directional longitudinal strain (0%–0.5%) and temperature (230C–2230C). The sensor integrates two-unit cells: a patch-based cell on a thin substrate for strain sensing, offering enhanced strain transfer and superior sensitivity ( 16–18 MHz/0.1%), and a loop-based cell with a temperature-sensitive dielectric for temperature measurements, achieving a sensitivity of 0.54 MHz/0C. The dual-measurand capability is achieved by designing the sensor with two distinct resonant frequencies, each corresponding to a specific parameter. Simulation and measurement results demonstrate that the proposed sensor achieves greater strain sensitivity as compared to existing FSS-based strain sensors while maintaining temperature sensitivity on par with existing FSS temperature sensors. The study also characterizes thermal expansion-induced errors through simulation and proposes a compensation approach that successfully improves sensitivity. Overall, this work demonstrates the potential of FSS-based sensors as compact, multi-measurand solutions for SHM applications, offering high sensitivity and reliability with minimal cross-sensitivity effects.

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Publication Details

Journal
IEEE Open Journal of Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/ojim.2025.3604985
Citations
1
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.95
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article

Dual Parameter FSS-Based Sensing for Structural Health Monitoring Applications

Kristen M. Donnell, Doyle T. Motes, Swathi Muthyala Ramesh
1 citations
IEEE Open Journal of Instrumentation and Measurement
Structural Health Monitoring Techniques
0.95
article

Dual Parameter FSS-Based Sensing for Structural Health Monitoring Applications

Kristen M. Donnell, Doyle T. Motes, Swathi Muthyala Ramesh
article en
1 citations

Abstract

Frequency Selective Surfaces (FSSs) are periodic arrays of conductive elements or apertures that reflect and/or transmit incident electromagnetic energy. Their response depends on parameters such as element shape, unit cell dimensions, dielectric properties, and the local environment, making them suitable for structural health monitoring (SHM) applications. This paper presents a dual-parameter FSS-based sensor design capable of measuring small-scale uni-directional longitudinal strain (0%–0.5%) and temperature (230C–2230C). The sensor integrates two-unit cells: a patch-based cell on a thin substrate for strain sensing, offering enhanced strain transfer and superior sensitivity ( 16–18 MHz/0.1%), and a loop-based cell with a temperature-sensitive dielectric for temperature measurements, achieving a sensitivity of 0.54 MHz/0C. The dual-measurand capability is achieved by designing the sensor with two distinct resonant frequencies, each corresponding to a specific parameter. Simulation and measurement results demonstrate that the proposed sensor achieves greater strain sensitivity as compared to existing FSS-based strain sensors while maintaining temperature sensitivity on par with existing FSS temperature sensors. The study also characterizes thermal expansion-induced errors through simulation and proposes a compensation approach that successfully improves sensitivity. Overall, this work demonstrates the potential of FSS-based sensors as compact, multi-measurand solutions for SHM applications, offering high sensitivity and reliability with minimal cross-sensitivity effects.

IEEE Open Journal of Instrumentation and MeasurementVol. 4
Missouri University of Science and Technology (US), Trident Research (United States) (US), Texas Research Institute (US)
Openalex Percentile: Top 22%
Structural Health Monitoring Techniques
0.95
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Dual Parameter FSS-Based Sensing for Structural Health Monitoring Applications — Kristen M. Donnell, Doyle T. Motes, et al. · IEEE Open Journal of Instrumentation and Measurement (2025) | TGRS Research Map | TGRS