Doctoral Dissertations

Keywords and Phrases

Frequency Selective Surface; FSS-Based Sensing; Wireless Sensors

Abstract

"Frequency selective surfaces (FSS) are periodic arrays of resonant elements with a specific (resonant) reflection/transmission response when illuminated by electromagnetic energy. FSSs have been utilized for different applications such as spatial filters, reflectors, lenses, radomes, and more recently, as sensors. FSS-based sensors have shown potential for numerous applications in structural health monitoring such as crack detection, concurrent strain and temperature sensing, normal and shear strain sensing, inspection of layered structures, etc. As FSS-based sensing is largely undeveloped, there are many critical aspects that must be fully understood before this sensing approach can be fully utilized. Therefore, the goal of this research is to advance the science behind FSS-based sensing in order to create a platform of knowledge upon which future engineers may utilize when designing FSS-based sensors. To this end, the theoretical (assuming infinite dimensions and a uniform excitation) FSS response is modeled using a cavity-based coupled-mode theory and subsequent quality factor analysis for patch and loop unit cells in order to study the effect of unit cell dimension, element geometry and substrate properties on the FSS frequency response. In addition, the differences between theoretical and practical FSSs are studied in order to obtain design rules and metrics to achieve a reliable (localized) sensing measurement by an FSS sensor, thereby improving the sensing resolution (from the dimensions of the sensor to smaller 'cells' within the sensor). Then, to achieve the maximum resolution of the FSS sensor, an approach is presented to determine the optimal sensor cell size. Additionally, a method using synthetic beamforming is presented to obtain an adaptive resolution for FSS sensing"--Abstract, page iv.

Advisor(s)

Donnell, Kristen M.

Committee Member(s)

Fan, Jun, 1971-
Huang, Jie
Khilkevich, Victor
Kinzel, Edward C.

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2020

Journal article titles appearing in thesis/dissertation

  • Patch- and loop-based frequency selective surface based on quality factor approach
  • Patch- and loop-based frequency selective surface model based on the quality factor approach
  • Performance metrics for frequency selective surface-based sensors
  • An aperture efficiency approach for optimization of FSS-based sensor resolution
  • Adaptive resolution for localized FSS-based sensing by synthetic beamforming

Pagination

xiv, 135 pages

Note about bibliography

Includes bibliographic references.

Rights

© 2020 Mahboobeh Mahmoodi, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11683

Electronic OCLC #

1164805494

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