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Application of a weighted Grey-Taguchi method for optimizing recycled aggregate concrete mixtures

机译:加权灰色-田口法在优化再生骨料混凝土混合物中的应用

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Assessment of the optimal mixture is an important issue to obtain desired quality. This paper integrates grey relational analysis and an objective weighting technique into the Taguchi method to propose the weighted Grey-Taguchi method. This method can be employed to assess the optimal mixture with multiple responses. In the application of this method, water/cement ratio, volume ratio of recycled coarse aggregate, replacement by river sand, content of crushed brick, and cleanliness of aggregate are selected as control factors with responses of slump, slump-flow, resistivity (7-day, 14-day, 28-day), ultrasonic pulse velocity (7-day, 14-day, 28-day), and compressive strength (7-day, 14-day, 28-day) to assess the optimal mixture of recycled aggregate concrete. Results demonstrate and verify that the optimal mixture has a water/cement ratio of 0.5, a volume fraction of recycled coarse aggregate of 42.0%, 100% replacement of river sand, 0% crushed brick, and water-washed aggregates.
机译:评估最佳混合物是获得所需质量的重要问题。本文将灰色关联分析和客观加权技术结合到田口方法中,提出了加权灰色-田口方法。该方法可用于评估具有多个响应的最佳混合物。在该方法的应用中,选择水灰比,再生粗骨料的体积比,用河砂替代,碎砖的含量以及骨料的清洁度作为控制因素,以应对坍落度,坍落度流量,电阻率(7天,14天,28天),超声脉冲速度(7天,14天,28天)和抗压强度(7天,14天,28天)以评估最佳混合物再生骨料混凝土。结果表明并验证了最佳混合物的水灰比为0.5,再生粗骨料的体积分数为42.0%,河砂的替代率为100%,碎砖为0%以及水洗的骨料。

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