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Optimum utilization of waste foundry sand and fly ash for geopolymer concrete synthesis using D-optimal mixture design of experiments

机译:使用D-Optimal混合设计实验的D-Optimal混合设计,最佳利用废弃物砂和粉煤灰进行地缘混凝土合成

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This work examines the partial replacement of fine aggregates with waste foundry sand (WFS) and fly ash, process by-products, to synthesize geopolymer concrete (GPC). D-optimal mixture design of experiments was adopted to guide the proportion of mixture constituents (fine aggregates, WFS, and fly ash) to obtain desired responses (high compressive strengths). The experimentally measured responses/compressive strengths were successfully fitted to Scheffe polynomial model to obtain cubic models which represent compressive strengths of solidified GPC at 7th day curing time (CS 7) and at 28th day curing time (CS 28). The models were statistically evaluated by the standard error of design estimation and experimentally verified by comparing their predicted responses to the independently performed experiments. The models were subjected to analysis of variance (ANOVA) and residuals (diagnostics) for statistical significance and validation, respectively. The established models, hence obtained, were used to assess the impacts of relative proportions of mixture constituents at CS 7 and CS 28. It was observed that, although the highest compressive strength requires a high proportion of fine aggregates, yet, some mixture compositions could be proposed for better utilization of waste materials. Finally, the optimization was performed to maximize the usage of WFS and fly ash. A recipe was identified which yielded 18.9 N/mm(2) CS 7 and 22.3 N/rnm(2) CS 28 by mere 32 wt. % contribution of fine aggregates in a (fine aggregates + WFS + fly ash) mixture. This study can be helpful in designing experiments and optimizing the utilization of similar waste materials into useful products.
机译:这项工作审查了用废弃物砂粉(WFS)和飞灰,工艺副产品的细聚集体部分更换,合成地缘聚合物混凝土(GPC)。采用D-最佳混合的实验设计来指导混合物成分(细聚集体,WFS和飞灰)的比例获得所需的响应(高压缩强度)。通过实验测量的响应/抗压强度成功地安装到Scheffe多项式模型中,以获得立方模型,其表示凝固的GPC在第7天固化时间(CS 7)和第28天固化时间(CS 28)的压缩强度。通过将其预测的响应与独立执行的实验进行比较,通过设计估计的标准误差进行统计评估模型。对统计显着性和验证的差异(ANOVA)和残差(诊断)进行分析。因此,所获得的模型用于评估CS 7和CS 28中的混合物成分的相对比例的影响。然而,虽然最高的抗压强度需要高比例的细聚合物,但是一些混合物组合物可以建议更好地利用废料。最后,进行了优化以最大限度地利用WFS和粉煤灰。鉴定了一种配方,其产生18.9n / mm(2)cs 7和22.3n / rnm(2)cs 28,仅为32重量%。优质骨料在(细聚集+ WFS +粉煤灰)混合物中的效力。本研究可以有助于设计实验并优化将与类似废料的利用中的利用中的用入有用的产品。

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