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Development of Multifunctional Carbon Nanotube Nanocomposite Sensors for Structural Health Monitoring.

dc.contributor.authorLoh, Kenneth Jan-Hwangen_US
dc.date.accessioned2009-02-05T19:31:27Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2009-02-05T19:31:27Z
dc.date.issued2008en_US
dc.date.submitteden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/61700
dc.description.abstractThe United States is currently facing a national crisis with many of its vital civil infrastructures deteriorating at an alarming rate. If left unaddressed, catastrophic structural failures like that witnessed from the Minneapolis’ I-35 bridge collapse (2007) will occur more frequently. Unfortunately, current structural health monitoring (SHM) technologies available are inadequate for detecting structural distress since (1) “point sensors” only measure localized structural response, and (2) damage is inferred and estimated using complex algorithms. Thus, this dissertation fundamentally solves this technology bottleneck by engineering a next-generation multifunctional material that serve as distributed sensors capable of sensing damage directly. Specifically, single-walled carbon nanotubes (SWNT) and polyelectrolytes (PE) are molecularly manipulated to self-assemble nanocomposites with superior mechanical and electrical properties. Here, SWNTs are employed for intentionally tailoring thin film tensile strength and stiffness, bulk conductivity, and electromechanical/electrochemical responses. First, the mechanical properties of SWNT-PE composites are characterized through extensive load testing. Precisely controlling SWNT assembly yields nanocomposites of high tensile strength (i.e., ~250 MPa). Second, the nanocomposite’s piezoresistivity are explored via both time- and frequency-domain methods for deriving an equivalent parallel RC-circuit model that models thin film piezoresistivity and facilitates optimization of nanocomposites strain sensitivities (i.e., up to 7% change in conductivity per unit strain). Then, two different applications of SWNT-PE nanocomposites for SHM are explored. First, the equivalent circuit derived is employed for designing miniaturized passive wireless strain and pH sensors. Upon patterning the nanocomposite to also serve as inductive coil antennas, wireless interrogation of sensor responses is accomplished. These passive wireless sensors do not require portable power supplies (e.g., batteries) and can operate indefinitely in the field. Second, a “sensing skin” is designed to provide two-dimensional maps of strain, crack damage, and corrosion. Mapping of composite electrical conductivity changes due to structural damage is performed using electrical impedance tomography. Unlike traditional SHM systems, these sensing skins can directly determine structural damage location and severity (i.e., due to strain, impact, pH, and corrosion) by monitoring the nanocomposite’s spatial conductivity changes due to damage. The ability to accurately detect damage location and severity facilitates efforts to prevent future catastrophic failures from occurring.en_US
dc.format.extent8981579 bytes
dc.format.extent1373 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen_US
dc.subjectCarbon Nanotubeen_US
dc.subjectMultifunctional Nanocompositeen_US
dc.subjectStrain and PH Sensingen_US
dc.subjectStructural Health Monitoringen_US
dc.subjectPassive Wireless RFID Sensorsen_US
dc.subjectElectrical Impedance Tomographyen_US
dc.titleDevelopment of Multifunctional Carbon Nanotube Nanocomposite Sensors for Structural Health Monitoring.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineCivil Engineeringen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberLynch, Jerome P.en_US
dc.contributor.committeememberEl-Tawil, Sherifen_US
dc.contributor.committeememberKotov, Nicholasen_US
dc.contributor.committeememberLi, Victor C.en_US
dc.subject.hlbsecondlevelCivil and Environmental Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/61700/1/kenloh_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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