Show simple item record

contributor authorE. Kimutai
contributor authorG. Betrie
contributor authorR. Brander
contributor authorR. Sadiq
contributor authorS. Tesfamariam
date accessioned2017-05-08T22:25:48Z
date available2017-05-08T22:25:48Z
date copyrightNovember 2015
date issued2015
identifier other44568256.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/80496
description abstractSeveral statistical models have been proposed to study effects of different covariates in the failure of water pipes. In this paper, three statistical models, the Weibull proportional hazard model (WPHM), the Cox proportional hazard model (Cox-PHM), and the Poisson model (PM), were considered. Curve fitting techniques were proposed for estimation of a baseline hazard function equation for the Cox-PHM to allow for its application in break prediction. The water main failure in the City of Calgary is used for this study. From the statistical models, physical covariates (e.g., pipe diameter, length) compared with environmental covariates (e.g., temperature) were the critical factors impacting the pipe failure rate. Furthermore, WHPM and PM showed the best fit for prediction of metallic and PVC pipes, respectively. Pipe break prediction through estimation of baseline hazard by curve fitting techniques produces good results especially for a
publisherAmerican Society of Civil Engineers
titleComparison of Statistical Models for Predicting Pipe Failures: Illustrative Example with the City of Calgary Water Main Failure
typeJournal Paper
journal volume6
journal issue4
journal titleJournal of Pipeline Systems Engineering and Practice
identifier doi10.1061/(ASCE)PS.1949-1204.0000196
treeJournal of Pipeline Systems Engineering and Practice:;2015:;Volume ( 006 ):;issue: 004
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record