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dc.contributor.authorShunlong
dc.contributor.authorLi
dc.contributor.authorYang
dc.contributor.authorXu
dc.contributor.authorHui
dc.contributor.authorLi
dc.contributor.authorXinchun
dc.contributor.authorGuan
dc.date.accessioned2017-05-08T22:06:01Z
dc.date.available2017-05-08T22:06:01Z
dc.date.copyrightJuly 2014
dc.date.issued2014
dc.identifier.other26197998.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/71332
dc.description.abstractCable inspections revealed that severe corrosion of steel wires is one of the main failure mechanisms of cables. Accelerated corrosion experiments were conducted to evaluate the variation in the uniform and pitting corrosion depths of high-strength steel wires over time. The measured uniform corrosion depth followed a lognormal distribution with time-dependent corrosion variables at both the zinc coating corrosion stage and the steel corrosion stage. The block’s maximum pitting factors from a different exposure time were proven to be drawn from the same underlying continuous population and followed Gumbel distribution. The regression models of the scale and location parameter with increased surface area were obtained based on the experimental block’s maximum pitting factors. The extreme value distribution of the pit depth of corroding steel wires could be predicted by the developed statistical uniform and pitting factor models.
dc.publisherAmerican Society of Civil Engineers
dc.titleUniform and Pitting Corrosion Modeling for High-Strength Bridge Wires
dc.typeJournal Paper
dc.journal.volume19
dc.journal.issue7
dc.journal.titleJournal of Bridge Engineering
dc.identifier.doi10.1061/(ASCE)BE.1943-5592.0000598
dc.treeJournal of Bridge Engineering:;2014:;Volume ( 019 ):;issue: 007
dc.contenttypeFulltext


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