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Optimal Construction Site Conditions for Concrete Operations

机译:混凝土作业的最佳施工现场条件

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Concrete usually undergoes stringent quality controls during its fabrication in a batching plant or when made in situ. However, there are several conditions in the construction site that may affect concrete quality and operations. Reduction in compressive strength, increment in costs of concrete fabrication and low productivity are among the consequences of adverse jobsite conditions. In this study, construction site conditions including crew experience, compaction method, mixing time, curing humidity, and curing temperature were selected as variables to conduct a full 25 factorial experimental design for quantifying their effect on concrete. Cylindrical concrete samples were fabricated and evaluated under each factor combination. Concrete compressive strength as a quality metric, costs, and production rates were measured as the experimental responses. Significant affecting factors and their effects on concrete were identified through the analysis of variance (ANOVA) and used to predict concrete compressive strength, cost, and production effects. A multi-objective optimization problem based on compromised solutions was formulated to maximize both concrete quality and production rates, and to minimize operation costs. The results show that high curing humidity and temperature have a positive effect on compressive strength while high mixing times increases concrete cost and reduces productivity. The proposed optimization model provides construction managers with a tool that allows finding in-situ construction conditions to reach desired goals. Further, understanding the possible impacts of these site conditions on concrete allows taking preventive actions.
机译:混凝土通常在配料厂制造过程中或现场制造时都要经过严格的质量控制。但是,施工现场存在一些可能影响混凝土质量和运营的条件。抗压强度的降低,混凝土制造成本的增加和生产率的降低是不利的现场条件的后果。在这项研究中,选择了施工现场条件,包括机组人员的经验,压实方法,混合时间,固化湿度和固化温度作为变量,以进行完整的25个因子试验设计,以量化其对混凝土的影响。制作圆柱形混凝土样品并根据每种因素组合进行评估。测量混凝土的抗压强度作为质量指标,成本和生产率,作为实验响应。通过方差分析(ANOVA)确定了重要的影响因素及其对混凝土的影响,并将其用于预测混凝土的抗压强度,成本和生产效果。制定了基于折衷解决方案的多目标优化问题,以最大程度地提高混凝土质量和生产率,并最大程度地降低运营成本。结果表明,高固化湿度和温度对抗压强度有积极影响,而高混合时间则增加了混凝土成本并降低了生产率。所提出的优化模型为施工经理提供了一种工具,该工具可以查找就地施工条件以达到期望的目标。此外,了解这些工地条件对混凝土的可能影响可以采取预防措施。

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