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dc.contributor.authorHani Freij
dc.contributor.authorDavid Dukeman
dc.contributor.authorChristopher L. Alexander
dc.contributor.authorAlberto A. Sagüés
dc.date.accessioned2022-01-30T20:58:52Z
dc.date.available2022-01-30T20:58:52Z
dc.date.issued11/1/2020 12:00:00 AM
dc.identifier.other%28ASCE%29BE.1943-5592.0001636.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4267450
dc.description.abstractExternal post-tensioned tendons in concrete segmental bridges have had strand corrosion failures due to grouting deficiencies such as voids or bleed water. Nondestructive assessment of the grout condition is thus often needed, preferably by a cross-section imaging method. Here, a magnetic sensing approach to image the position of the steel strand bundle is combined with an electric impedance method to evaluate the condition of the grout space. Both are embodied in a device that images the tendon’s cross section. The magnetic sensor travels around the circumference of the tendon and measures the force of attraction to the steel strands from which an image of the strand pattern inside the tendon is created. Simultaneously, a traveling plate rotates around the tendon, and variations of the electric impedance between the plate and strands identify grout deficiencies. The impedance and strand position data create a complete color-coded image of the tendon cross-section flagging grout deficiencies. The approach was validated by experiments with tendon specimens with known deficiencies and under field conditions. The method is rapid, economical, easy to replicate, with a small and safe device not requiring specialized operator training.
dc.publisherASCE
dc.titlePractical Cross-Section Imaging of External Tendons to Reveal Grout Deficiencies Relative to Strand Pattern
dc.typeJournal Paper
dc.journal.volume25
dc.journal.issue11
dc.journal.titleJournal of Bridge Engineering
dc.identifier.doi10.1061/(ASCE)BE.1943-5592.0001636
dc.page12
dc.treeJournal of Bridge Engineering:;2020:;Volume ( 025 ):;issue: 011
dc.contenttypeFulltext


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