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Probabilistic Estimation for Microtunneling Projects’ Penetration Time
Construction of new utility lines is increasing nationwide especially with trenchless technology techniques like microtunneling. Microtunneling contractors estimate the project’s duration heuristically covering project’s uncertainty by high contingencies. Supplying microtunneling contractors with a prediction model of project’s penetration time is the purpose of this paper. Project’s duration is consumed in three activities: soil penetration, pipe preparation, and delays. Data from thirty-five microtunneling projects were collected. Regression with real data, which is a probabilistic based regression, has been used. Models were classified based on soil type and contractor’s performance. While contractors can use these models to appraise the work of the project team, the researchers can utilize it to analyze the process in greater detail.
Probabilistic Estimation for Microtunneling Projects’ Penetration Time
Construction of new utility lines is increasing nationwide especially with trenchless technology techniques like microtunneling. Microtunneling contractors estimate the project’s duration heuristically covering project’s uncertainty by high contingencies. Supplying microtunneling contractors with a prediction model of project’s penetration time is the purpose of this paper. Project’s duration is consumed in three activities: soil penetration, pipe preparation, and delays. Data from thirty-five microtunneling projects were collected. Regression with real data, which is a probabilistic based regression, has been used. Models were classified based on soil type and contractor’s performance. While contractors can use these models to appraise the work of the project team, the researchers can utilize it to analyze the process in greater detail.
Probabilistic Estimation for Microtunneling Projects’ Penetration Time
Elwakil, Emad (author) / Hegab, Mohamed (author)
International Conference on Construction and Real Estate Management 2018 ; 2018 ; Charleston, South Carolina
ICCREM 2018 ; 27-33
2018-08-08
Conference paper
Electronic Resource
English
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