Innovative Structural Health Monitoring Using Smart Sensors
| dc.contributor.advisor | Song, Gangbing | |
| dc.contributor.committeeMember | Franchek, Matthew A. | |
| dc.contributor.committeeMember | Mo, Yi-Lung | |
| dc.contributor.committeeMember | Grigoriadis, Karolos M. | |
| dc.contributor.committeeMember | Sun, Li | |
| dc.creator | Li, Weijie | |
| dc.date.accessioned | 2019-09-13T19:28:29Z | |
| dc.date.available | 2019-09-13T19:28:29Z | |
| dc.date.created | May 2017 | |
| dc.date.issued | 2017-05 | |
| dc.date.submitted | May 2017 | |
| dc.date.updated | 2019-09-13T19:28:31Z | |
| dc.description.abstract | Civil, mechanical, and aerospace engineering structures, which serve as the foundation for modern society, undergo continuous strength deterioration due to loading and environmental impacts, and may suffer from the associated potential of damage accumulation. Structural health monitoring (SHM) is a process in which damage identification strategies are implemented for determining the presence, location, and severity of damages, and the remaining life of the structure after the occurrence of damage. There are numerous smart sensors available targeted at various SHM applications, and among which the fiber optic sensors and piezoelectric sensors are two of the most widely adopted smart sensors. Fiber optic sensors are passive, which have the advantages of small size, remote sensing, corrosion resistance, immunity to electromagnetic interference, and excellent multiplicity. Piezoelectric sensors work on the direct and inverse effect of piezoelectricity, which can be used as both sensors and actuators. This dissertation explores five innovative designs and applications of these two types of smart sensors in the field of SHM, especially in civil engineering, with two of them are based on fiber optic sensors and the other three are based on piezoelectric sensors. In the first study, a novel rebar corrosion detection technique for reinforced concrete structure was proposed based on active thermal probe. The active thermal probe was designed and fabricated according to the combined fiber Bragg grating and carbon fiber. The magnitude of the temperature response of the thermal probe correlates to the corrosion severity. In the second study, a novel type of ferromagnetic distance-based metal loss sensor was proposed based on the principle of fiber optic macro-bend loss. The practicality of the proposed distance sensor for metal loss measurement was validated through scanning the fabricated corrosion samples. The third study presented the feasibility of using smart aggregates, which are a type of embedded piezoelectric sensors, as embedded acoustic emission sensors for the health monitoring of concrete structures. The performance of the embedded smart aggregates were compared with the traditional surface mounted acoustic emission sensors in their ability to detect and evaluate the damage to the concrete structure. The fourth study experimentally investigated the feasibility of debonding characterization in fiber-reinforced polymer rebar reinforced concrete using acoustic emission technique. The results demonstrated a clear correlation between the damage evolution of carbon-fiber-reinforced polymer rebar pullout and the acoustic emission parameters. The final study employed an electromechanical impedance-based structural health monitoring technique by applying piezoelectric sensors to detect the debonding damage of a carbon fiber reinforced polymer rebar reinforced concrete. Statistical damage metrics, root mean square deviation and mean absolute percentage deviation, were used to quantify the changes in impedance signatures measured by the piezoelectric sensors due to various debonding conditions. | |
| dc.description.department | Mechanical Engineering, Department of | |
| dc.format.digitalOrigin | born digital | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Portions of this document appear in: Weijie Li, Siu Chun Michael Ho, and Gangbing Song. "Corrosion detection of steel reinforced concrete using combined carbon fiber and fiber Bragg grating active thermal probe." Smart Materials and Structures 25, no. 4 (2016): 045017. And in: Weijie Li, Siu Chun Michael Ho, Mingzhang Luo, Quyen Huynh, and Gangbing Song. "Fiber optic macro-bend based sensor for detection of metal loss." Smart Materials and Structures 26, no. 4 (2017): 045002. And in: Weijie Li, Qingzhao Kong, Siu Chun Michael Ho, Y. L. Mo, and Gangbing Song. "Feasibility study of using smart aggregates as embedded acoustic emission sensors for health monitoring of concrete structures." Smart Materials and Structures 25, no. 11 (2016): 115031. And in: Weijie Li, Siu Chun Michael Ho, Devendra Patil, and Gangbing Song. "Acoustic emission monitoring and finite element analysis of debonding in fiber-reinforced polymer rebar reinforced concrete." Structural Health Monitoring (2016): 1475921716678922. And in: Weijie Li, Shuli Fan, Siu Chun Michael Ho, Jianchao Wu, Gangbing Song. "Interfacial Debonding Detection in FRP Rebar Reinforced Concrete Using Electro-Mechanical Impedance Technique." Structural Health Monitoring (2017): 1475921717703053. | |
| dc.identifier.uri | https://hdl.handle.net/10657/4517 | |
| dc.language.iso | eng | |
| dc.rights | The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. UH Libraries has secured permission to reproduce any and all previously published materials contained in the work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s). | |
| dc.subject | Structural health monitoring | |
| dc.subject | Smart Sensors | |
| dc.subject | Fiber optic sensors | |
| dc.subject | Piezoelectric Sensors | |
| dc.title | Innovative Structural Health Monitoring Using Smart Sensors | |
| dc.type.dcmi | Text | |
| dc.type.genre | Thesis | |
| thesis.degree.college | Cullen College of Engineering | |
| thesis.degree.department | Mechanical Engineering, Department of | |
| thesis.degree.discipline | Mechanical Engineering | |
| thesis.degree.grantor | University of Houston | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy |