Title:
Passive antenna sensor design through multi-physics modeling, simulation, and optimization

dc.contributor.advisor Wang, Yang
dc.contributor.author Cho, Chunhee
dc.contributor.committeeMember Tentzeris, Manos
dc.contributor.committeeMember Suryanarayana, Phanish
dc.contributor.committeeMember Zhang, Ying
dc.contributor.committeeMember Yi, Xiaohua
dc.contributor.department Civil and Environmental Engineering
dc.date.accessioned 2018-01-22T21:04:27Z
dc.date.available 2018-01-22T21:04:27Z
dc.date.created 2016-12
dc.date.issued 2016-11-15
dc.date.submitted December 2016
dc.date.updated 2018-01-22T21:04:27Z
dc.description.abstract This dissertation develops passive (battery-free) wireless strain sensing techniques for low-cost structural health monitoring (SHM). Passive wireless strain sensing has obvious advantages among SHM technologies in that the sensors require neither cable nor external power supply for operation. However, current numerical approaches for modeling and designing passive antenna sensors are oftentimes inefficient and inaccurate. In this study, a partially air-filled cavity modeling and an inverse power iteration method with Rayleigh quotient (IPIRQ) are proposed to significantly improve computational speed of strain sensing simulation. Optimization frameworks are proposed for identifying accurate mechanical and electromagnetic parameter values of an antenna sensor through finite element model updating using experimental measurements. In addition, a multi-objective optimization approach is formulated to maximize sensor performance such as strain sensitivity and antenna gain. Finally, in order to overcome the limit of radiofrequency identification (RFID) antenna sensors, a frequency doubling technology is investigated. To achieve close deployment of multiple frequency doubling antenna sensors, a wireless switching mechanism is designed and implemented. Performance of the frequency doubling antenna sensors with wireless switching is experimentally validated.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/59155
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Passive antenna sensor
dc.subject Design optimization with multi-physics simulation
dc.title Passive antenna sensor design through multi-physics modeling, simulation, and optimization
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Wang, Yang
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 9390b967-a83c-439f-ad83-7d51862258e7
relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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