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dc.contributor.advisorSong, Gangbing
dc.creatorAmiri, Saeid
dc.date.accessioned2018-03-05T21:59:27Z
dc.date.available2018-03-05T21:59:27Z
dc.date.created2015-12
dc.date.issuedDecember 2015
dc.date.submittedDecember 2015
dc.identifier.urihttp://hdl.handle.net/10657/2841
dc.description.abstractIn this thesis, a novel method is proposed to calculate the leakage and impact location of the pipelines using Fiber Bragg Grating (FBG) sensors. Detection for leakage was accomplished through the measurement of the negative pressure wave (NPW) resulted from rapid depressurization of a gas pipeline. Experiments were performed on a model PVC pipeline (180 ft) with five manually controlled leakage points. Leakage was detected with 6-20% error, with higher error skewed towards the ends of the pipeline due to reflective boundary conditions. Meanwhile, impact experiment were also conducted on the pipeline. Impact was detected and impact points were localized using a similar algorithm. However, impact-induced stress waves were used instead of NPW. Similar to leakage detection, accuracy was affected by pipeline length and also sampling frequency. Results in this thesis set the foundation for future fiber-optic based pipeline monitoring systems that may prevent and mitigate damage caused by pipeline failures.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.rightsThe 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. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectFBG, Structural Health monitoring, subsea, leakage, impact
dc.titleLeakage and Impact Detection of Subsea Pipelines using Fiber Bragg Grating Sensors
dc.date.updated2018-03-05T21:59:27Z
dc.type.genreThesis
thesis.degree.nameMaster of Science
thesis.degree.levelMasters
thesis.degree.disciplineMechanical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.departmentMechanical Engineering, Department of
dc.contributor.committeeMemberRyou, Jae-Hyun
dc.contributor.committeeMemberLim, Gino J.
dc.contributor.committeeMemberHo, Siu Chun Michael
dc.type.dcmiText
dc.format.digitalOriginborn digital
dc.description.departmentMechanical Engineering, Department of
thesis.degree.collegeCullen College of Engineering


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