Acoustic emission monitoring of damage progression in fiber reinforced polymer rods

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dc.contributor.authorShateri, Mohammadhadi
dc.contributor.examiningcommitteeSherif, Sherif (Electrical and Computer Engineering) Svecova, Dagmar (Civil Engineering)en_US
dc.contributor.supervisorThomson, Douglas (Electrical and Computer Engineering)en_US
dc.date.accessioned2017-03-09T15:07:27Z
dc.date.available2017-03-09T15:07:27Z
dc.date.issued2017
dc.degree.disciplineElectrical and Computer Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractThe fiber reinforced polymer (FRP) bars have been widely used in pre-stressing applications and reinforcing of the civil structures. High strength-to-weight ratio and high resistance to the corrosion make the FRP bars a good replacement for steel reinforcing bars in civil engineering applications. According to the CAN/CSA-S806-12 standard, the maximum recommended stress in FRP bars under service loads should not exceed 25% and 65% of the ultimate strength for glass FRP (GFRP) and carbon FRP (CFRP), respectively. These stress values are set to prevent creep failure in FRP bars. However, for in-service applications, there are few physical indicators that these values have been reached or exceeded. In this work analysis of acoustic emission (AE) signals is used. Two new techniques based on pattern recognition and frequency entropy of the isolated acoustic emission (AE) signal are presented for monitoring damage progression and prediction of failure in FRPs.en_US
dc.description.noteMay 2017en_US
dc.identifier.urihttp://hdl.handle.net/1993/32148
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectAcoustic emission signalen_US
dc.subjectFiber reinforced polymer roden_US
dc.subjectDamage monitoring and failure predictionen_US
dc.subjectRMS detection algorithmen_US
dc.subjectShannon entropyen_US
dc.subjectFuzzy C-means clusteringen_US
dc.titleAcoustic emission monitoring of damage progression in fiber reinforced polymer rodsen_US
dc.typemaster thesisen_US
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