Utility of statistical models in proportioning self-consolidating concrete
Utility of statistical models in proportioning self-consolidating concrete
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DOI：
10.1007/bf02479705
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发表时间：
2000-06-01
影响因子：
3.8
通讯作者：
Hadriche, MS
中科院分区：
文献类型：
--
作者：
Khayat, KH;Ghezal, A;Hadriche, MS
除了合理的材料选择外，自固结混凝土的配合比设计还需要仔细调整混合成分，以确保成功生产这种复杂材料所必需的矛盾特性之间的适当平衡。自固结混凝土的配合比优化往往需要几个试验批次来保证所要求的性能。本文回顾了使用析因设计方法开发的统计模型，以了解混合物参数对响应的影响，包括坍落度流动，流变参数，填充能力，v漏斗流动时间，表面沉降和抗压强度。该模型适用于含0.37 ~ 0.50 W/CM、360 ~ 600 kg/m(3)粘结剂、240 ~ 400 l/m(3)粗骨料、0.05 ~ 0.20%增粘剂（按水质量计）和0.3 ~ 1.1%高范围减水剂（按粘结剂质量计）的混合料。尽管预测响应随模型建立时所用材料特性的偏差而变化，但模型在确定混合料参数及其相互作用对自固结混凝土性能的重要性方面仍然非常有用。本文论证了这些模型在建立配合比优化所需的配合比参数之间的权衡时的有效性，并比较了这些参数的变化对关键自固结混凝土响应的影响。强调了这些模型在建立不同可加工性特征之间的相关性方面的作用，这些特征有助于质量控制。
In addition to sound material selection, the mix design of self-consolidating concrete requires careful tailoring of mixture constituents to secure a proper balance between contradictory properties necessary for the successful production of such a complex material. Mixture optimization of self-consolidating concrete often requires several trial batches to secure the required characteristics. This paper reviews statistical models developed using a factorial design approach to understand the effect of mixture parameters on by responses, including slump flow, rheological parameters, filling capacity, V-funnel flow time, surface settlement, and compressive strength. The models are valid for mixtures with 0.37 to 0.50 W/CM, 360 to 600 kg/m(3) of binder, 240 to 400 l/m(3) of coarse aggregate, 0.05 to 0.20% of viscosity-enhancing agent, by mass of water, and 0.3 to 1.1% of high-range water reducer by mass of binder.Although the predicted response changes with the deviation from material characteristics used in establishing the models, the models remain quite useful in determing the significance of mixture parameters and their interactions on self-consolidating concrete properties. This paper demonstrates the usefulness of the models in establishing trade-offs among mixture parameters necessary for mixture optimization and compares the effect of changes in such parameters on key self consolidating concrete responses. The utility of the models to establish correlation between different workability characteristics useful for quality control is also highlighted.