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Delay Time Analysis in Microtunneling Projects
Authors:Mohamed Y Hegab  Gary R Smith
Affiliation:1Assistant Professor, Civil Engineering and Applied Mechanics Dept., California State Univ.–Northridge, 18111 Nordhoff St., Northridge, CA 91330-8347. E-mail: mhegab@csun.edu
2Dean of Engineering and Architecture, North Dakota State Univ., 203 Engineering Building, Fargo, ND 58105. E-mail: gary.smith@ndsu.edu
Abstract:Delay 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.
Keywords:Microtunneling  Productivity  Construction management  Delay time  Probabilistic methods  
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