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Modeling Construction Production Rates for Pipes and Culverts

机译:管道和涵洞的建筑生产率建模

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Storm sewers construction often falls on the critical path of highway construction schedule and any delays can disrupt project schedule and also increases chances of traffic jam especially in urbanized areas. This paper proposes accurate ways of estimating the production rates of reinforced concrete pipe and precast concrete box culverts in order to improve the accuracy of project schedule and reduce inconvenience to highway users. Literature reviews are first used to identify the candidate drivers that affect the production rates of these storm sewers structures. Field construction data related to this research were collected from forty-four Texas highway projects between 2002 and 2004. Regression analysis, modeling and box plots were used to identify production rate drivers' relationships with productivity. Different production rate drivers were first identified using ANOVA test and box-plots and significant drivers were used to develop production rates models for design engineers to be used at the design stage. Research found that production rate of pipes was driven by Work Zone Accessibility, Length of run and Pipe orientation while production rate of culverts was driven by Length of run, Soil Type and Clay content in soil. Statistical models were also developed for these factors to allow project planners better estimate project schedules.
机译:雨水管道的建设往往落在高速公路建设进度的关键路径上,任何延误都可能干扰项目进度,也增加了交通堵塞的机会,尤其是在城市地区。本文提出了一种准确的方法来估算钢筋混凝土管和预制混凝土箱涵的生产率,以提高工程进度的准确性并减少对公路使用者的不便。首先使用文献综述来确定影响这些雨水管道结构生产率的候选驱动因素。与这项研究相关的现场施工数据是从2002年至2004年间从44个德克萨斯州高速公路项目中收集的。使用回归分析,建模和箱形图确定了生产率驱动因素与生产率的关系。首先使用方差分析(ANOVA)测试和盒图法确定了不同的生产率驱动因素,然后使用重要的驱动因素为设计工程师开发生产率模型,以便在设计阶段使用。研究发现,管道的生产率受工作区可达性,管道长度和管道方向的影响,而涵洞的生产率受管道长度,土壤类型和土壤中粘土含量的驱动。还针对这些因素开发了统计模型,以使项目计划人员可以更好地估计项目进度。

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