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contributor authorMohamed Y. Hegab
contributor authorGary R. Smith
date accessioned2017-05-08T20:46:51Z
date available2017-05-08T20:46:51Z
date copyrightFebruary 2007
date issued2007
identifier other%28asce%290733-9364%282007%29133%3A2%28191%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/26942
description abstractDelay in microtunneling projects is a complex multivariate problem. Delay in microtunneling is defined as the nonworking time of a microtunneling project due to any reason other than scheduled stops. There are many reasons for delay such as mechanical failure of system components, leakage of hydraulic hoses, blockage of slurry pipes, and waiting time for excavated materials hauling equipment. Delay time increases the project duration and consequently the project cost. Delay data were collected from 35 microtunneling projects. Collected delay data were delay duration, delay reason, time, and location from the start to the stopping point. Five categories of delay causes were used in the analysis. Prediction of delay time will enhance the estimation accuracy of microtunneling project duration. A predictive model using a probabilistic approach was selected to represent the delay time. Based on data characteristics, a Weibull distribution was determined to best represent the overall delay duration in microtunneling projects. Using “regression with life data,” expected overall delay in a microtunneling project could be predicted as a function of driven length. The model will help contractors to estimate total project time with reasonable accuracy. Knowing the anticipated delay time will allow contractors to have a point of comparison for actual performance.
publisherAmerican Society of Civil Engineers
titleDelay Time Analysis in Microtunneling Projects
typeJournal Paper
journal volume133
journal issue2
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)0733-9364(2007)133:2(191)
treeJournal of Construction Engineering and Management:;2007:;Volume ( 133 ):;issue: 002
contenttypeFulltext


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