Show simple item record

contributor authorChun-Qing Li
contributor authorAfshin Firouzi
contributor authorWei Yang
date accessioned2017-12-16T09:15:10Z
date available2017-12-16T09:15:10Z
date issued2017
identifier other%28ASCE%29EM.1943-7889.0001258.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4240518
description abstractThe increasing rate of deterioration of buried pipelines has necessitated the development of a robust assessment method for their structural integrity and service life prediction. Among various deterioration mechanisms, ductile iron pipes are most prone to pitting corrosion and subsequent leakages. This paper intends to develop a methodology to predict the perforation induced by pitting corrosion on buried ductile pipes. The methodology integrates the random fields, gamma process, and copulas into an interrelated simulation algorithm for reliability analysis of pipe perforation. It is found that the average value of a pit depth predicted by the developed method is in good agreement with the theoretical mean of the proposed gamma process for pitting corrosion. It is also found that selecting an appropriate copula which models the dependent behavior of corrosion pits on pipes is very important to accurately predict pipe perforation. The paper concludes that the developed methodology can accurately predict the perforation of ductile iron pipe induced by pitting corrosion. Proactive asset management of buried pipelines can lead to considerable savings of resources and prolonged service life.
publisherAmerican Society of Civil Engineers
titlePrediction of Pitting Corrosion–Induced Perforation of Ductile Iron Pipes
typeJournal Paper
journal volume143
journal issue8
journal titleJournal of Engineering Mechanics
identifier doi10.1061/(ASCE)EM.1943-7889.0001258
treeJournal of Engineering Mechanics:;2017:;Volume ( 143 ):;issue: 008
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record