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Corrosion Detection in Reinforced Concrete Using Acoustic Emission Technique

Penumatsa, Gowtham, Penumatsa
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1462898129

Abstract Details

2016, Master of Science, University of Toledo, Civil Engineering.
Corrosion of reinforcing steel is the major cause for deterioration of concrete structures. Corrosion of these steel bars potentially reduces the service life and ductility of the structures causing early failure of structure, this involves signifi cant cost for inspection and maintenance. Early detection of corrosion is necessary for the proper diagnosis and effective prevention of failure. Therefore, damage induced due to corrosion of reinforcing steel should be detected in the early stages and the severity of corrosion should be properly anticipated by means of non-destructive testing techniques for the safety of the structure. The available methods of corrosion detection in concrete structures are generally electrochemical, such as half-cell potential (HCP) measurements and linear polarization resistance (LPR). These methods are intrusive as they require a physical connection to the corroding steel. Furthermore, these methods only provide information about local corrosion and are usually used after corrosion damage is discovered visually. Acoustic emission is sensitive enough to be a feasible nondestructive testing technique to detect early corrosion. Therefore a corrosion monitoring cell to detect corrosion in reinforced concrete beams using acoustic emission is setup for the rst time at The University of Toledo and experiments are conducted. This thesis presents the fi rst use of acoustic emission to detect corrosion in rein- forced concrete at The University of Toledo. The tasks accomplished includes setting up a corrosion cell and understanding the AE hardware and software equipment. A literature review of corrosion monitoring in reinforced concrete using acoustic emission technology is provided in order to understand the AE technology advancement to date. Corrosion monitoring experiments were designed in the laboratory to initiate corrosion in reinforced concrete in a short time span and continuously monitor with an AE data acquisition system. Electrochemical half-cell potential method is used to anticipate the initiation of corrosion and to correlate AE data with potentials at di fferent stages of the experiment. Steel rebar and two reinforced concrete beams are corroded immersing in 3.5% NaCl solution and using constant potential. The corrosion in these rebar and concrete specimens are monitored continuously using Mistras Pocket Corpac with R15 sensors. Half cell potential measurements are also conducted to understand the method and used to establish correlation with AE. The experiments conducted helped to understand the corrosion process and detect corrosion using AE. The results of the experiments using acoustic emission were found consistent with those in the literature and the conclusions were con rmed using half- cell potential measurements.
Douglas Nims (Advisor)
Liangbo Hu (Committee Member)
Dong Kim (Committee Member)
74 p.
Civil Engineering; Engineering

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Citations

  • Penumatsa, Penumatsa, G. (2016). Corrosion Detection in Reinforced Concrete Using Acoustic Emission Technique [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1462898129

    APA Style (7th edition)

  • Penumatsa, Penumatsa, Gowtham. Corrosion Detection in Reinforced Concrete Using Acoustic Emission Technique. 2016. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1462898129.

    MLA Style (8th edition)

  • Penumatsa, Penumatsa, Gowtham. "Corrosion Detection in Reinforced Concrete Using Acoustic Emission Technique." Master's thesis, University of Toledo, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1462898129

    Chicago Manual of Style (17th edition)

toledo1462898129
646
© 2016, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.