Prediction of Fresh and Hardened Properties of Self-Compacting Heavy-Weight Concrete Using Response Surface

IF 1 Q4 ENGINEERING, CIVIL Journal of Applied Engineering Sciences Pub Date : 2022-05-01 DOI:10.2478/jaes-2022-0012
Sibel Sağlıyan, E. Yalçın, K. E. Alyamaç, C. Polat
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Abstract

Abstract The aim of this study is to investigate the fresh and hardened properties of the self-compacting heavy-weight concrete (SCHWC) and to develop a mathematical model for the prediction of these properties. The binder was the Portland cement and fly ash (FA). Barite aggregate was used to achieve the heavy-weight concrete (HWC). A polycarboxylate based super plasticizer was used to increase workability and reach self-compacting feature. To research the fresh and hardened properties SCHWC many concrete mixes were prepared accordingly with “water-cement ratios”, “total aggregate-cement ratios”, and “fly ash-cement ratios”. These samples were tested to get the slump-flow, V-funnel, 7 and 28-day compressive strength values. The Response Surface Methodology (RSM) was used to develop regression equations using these experimental results. It is observed that the estimated values obtained with RSM are compatible with those obtained by the experimental method for the fresh and hardened properties of SCHWC.
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用响应面预测自密实大强度混凝土的新鲜和硬化性能
摘要本研究的目的是研究自密实重型混凝土(SCHWC)的新鲜和硬化性能,并开发一个预测这些性能的数学模型。粘合剂是波特兰水泥和粉煤灰(FA)。重晶石骨料被用于实现重型混凝土(HWC)。采用聚羧酸系超级增塑剂提高加工性能,达到自密实的目的。为了研究SCHWC的新鲜和硬化性能,根据“水灰比”、“总骨料水泥比”和“粉煤灰水泥比”制备了许多混凝土混合物。对这些样品进行测试,以获得坍落度流量、V型漏斗、7天和28天抗压强度值。使用响应面方法(RSM)利用这些实验结果建立回归方程。观察到,用RSM获得的估计值与用实验方法获得的SCHWC的新鲜和硬化性能的估计值是一致的。
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自引率
9.10%
发文量
18
审稿时长
12 weeks
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