2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings 2016
DOI: 10.1109/i2mtc.2016.7520475
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Embedded FSS sensing for structural health monitoring of bridge columns

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Cited by 10 publications
(5 citation statements)
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“…temperature sensitive dielectric) or a unit cell element that is sensitive to the sensing parameter (e.g. a cross loop whose resonance characteristics are sensitive to strain) are used [224226]. These two sensing methods can also be combined to create an FSS that is capable of sensing multiple parameters simultaneously, which is especially useful in cases where one needs to understand the effect of one parameter on another like is the case with strain and temperature [227].…”
Section: Sensors and Sensingmentioning
confidence: 99%
“…temperature sensitive dielectric) or a unit cell element that is sensitive to the sensing parameter (e.g. a cross loop whose resonance characteristics are sensitive to strain) are used [224226]. These two sensing methods can also be combined to create an FSS that is capable of sensing multiple parameters simultaneously, which is especially useful in cases where one needs to understand the effect of one parameter on another like is the case with strain and temperature [227].…”
Section: Sensors and Sensingmentioning
confidence: 99%
“…More recently, frequency selective surfaces have been used to measure the electrical permittivity of materials (Costa et al., 2011; C. K. Lee et al., 2020). Another application that has been growing is in civil engineering area, where FSS is used to detect internal failures/ruptures in concrete structures, such as bridge pillars (Pieper et al., 2016).…”
Section: Introductionmentioning
confidence: 99%
“…RF shielding [9], beam switching and steering [10] [11]. FSS and meta-materials have been proposed for applications in strain [12], remote [13], chemical liquid [14], thin film [15], CO2 [16], bridge columns structural health monitoring [17] Biochemical [18] and corrosion [19] sensing. Displacement can be detected using a variety of sensors, the most common being based on resistive, capacitive, inductive, ultrasonic [20] and optical principles [21].…”
Section: Introductionmentioning
confidence: 99%