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Deterministic models for assessing productivity and cost of bored piles

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  • Tarek Zayed
  • Daniel Halpin

Abstract

The assessment process of productivity and cost of bored pile construction is dictated by unseen subsurface obstacles, lack of contractor experience and site planning. These problems complicate the estimator's role in evaluating pile equipment productivity and cost. Current research discusses the assessment of piling process productivity and cost using the deterministic technique. Data are collected through questionnaires, site interviews and telephone calls to experts in various construction companies. Many variables have been considered in the piling construction process, such as pile size, depth, pouring method, soil type and construction method. Five deterministic models have been designated to assess productivity, cycle time and cost. The developed models are validated whereas 79% of the outputs have been predicted with more than 75% accuracy. Consequently, three sets of charts have been developed to provide the decision-maker with a solid planning, scheduling and control tool for piling projects. If a pile has 60' depth with φ-18 (18'' diameter pile) in clay soil using a 5' auger height, the cycle time is estimated as 56 and 65.5 minutes; however, productivity is 6 and 5 holes/day for dry and wet methods, respectively.

Suggested Citation

  • Tarek Zayed & Daniel Halpin, 2005. "Deterministic models for assessing productivity and cost of bored piles," Construction Management and Economics, Taylor & Francis Journals, vol. 23(5), pages 531-543.
  • Handle: RePEc:taf:conmgt:v:23:y:2005:i:5:p:531-543
    DOI: 10.1080/01446190500039911
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    Cited by:

    1. Chang-Yong Yi & Jin-Young Park & Chan-Young Park & Jun-Cheol Lee & Young-Jun Park, 2022. "Eco-Economic Performance Estimation Method for Pretensioned Spun High-Strength Concrete Pile Installation," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
    2. Hossam H. Mohamed & Ahmed H. Ibrahim & Asmaa A. Soliman, 2021. "Toward Reducing Construction Project Delivery Time under Limited Resources," Sustainability, MDPI, vol. 13(19), pages 1-17, October.

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