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采用中心复合设计法对木薯皮灰混凝土进行优化。

Optimization of cassava peel ash concrete using central composite design method.

作者信息

Iro Uzoma Ibe, Alaneme George Uwadiegwu, Attah Imoh Christopher, Ganasen Nakkeeran, Duru Stellamaris Chinenye, Olaiya Bamidele Charles

机构信息

Department of Civil Engineering, Michael Okpara University of Agriculture, Umudike, Nigeria.

Department of Civil, School of Engineering and Applied Sciences, Kampala International University, Kampala, Uganda.

出版信息

Sci Rep. 2024 Apr 4;14(1):7901. doi: 10.1038/s41598-024-58555-0.

DOI:10.1038/s41598-024-58555-0
PMID:38570706
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10991445/
Abstract

Cassava peel ash (CPA) is an abundant agricultural byproduct that has shown promise as an additional cementitious material in concrete manufacturing. This research study aims to optimize the incorporation of CPA in concrete blends using the central composite design (CCD) methodology to determine the most effective combination of ingredients for maximizing concrete performance. The investigation involves a physicochemical analysis of CPA to assess its pozzolanic characteristics. Laboratory experiments are then conducted to assess the compressive and flexural strengths of concrete mixtures formulated with varying proportions of CPA, cement, and aggregates. The results show that a mix ratio of 0.2:0.0875:0.3625:0.4625 for cement, CPA, fine, and coarse aggregates, respectively, yields a maximum compressive strength of 28.51 MPa. Additionally, a maximum flexural strength of 10.36 MPa is achieved with a mix ratio of 0.2:0.0875:0.3625:0.525. The experimental data were used to develop quadratic predictive models, followed by statistical analyses. The culmination of the research resulted in the identification of an optimal concrete blend that significantly enhances both compressive and flexural strength. To ensure the reliability of the model, rigorous validation was conducted using student's t-test, revealing a strong correlation between laboratory findings and simulated values, with computed p-values of 0.9987 and 0.9912 for compressive and flexural strength responses, respectively. This study underscores the potential for enhancing concrete properties and reducing waste through the effective utilization of CPA in the construction sector.

摘要

木薯皮灰(CPA)是一种丰富的农业副产品,已显示出有望作为混凝土生产中的一种额外胶凝材料。本研究旨在使用中心复合设计(CCD)方法优化CPA在混凝土混合物中的掺入量,以确定使混凝土性能最大化的最有效成分组合。该调查包括对CPA进行物理化学分析,以评估其火山灰特性。然后进行实验室实验,以评估用不同比例的CPA、水泥和骨料配制的混凝土混合物的抗压强度和抗弯强度。结果表明,水泥、CPA、细骨料和粗骨料的混合比例分别为0.2:0.0875:0.3625:0.4625时,可产生最大抗压强度28.51MPa。此外,混合比例为0.2:0.0875:0.3625:0.525时,可实现最大抗弯强度10.36MPa。实验数据用于建立二次预测模型,随后进行统计分析。该研究的最终结果是确定了一种最佳混凝土混合物,该混合物显著提高了抗压强度和抗弯强度。为确保模型的可靠性,使用学生t检验进行了严格验证,结果表明实验室结果与模拟值之间存在很强的相关性,抗压强度响应和抗弯强度响应的计算p值分别为0.9987和0.9912。本研究强调了通过在建筑行业有效利用CPA来提高混凝土性能和减少浪费的潜力。

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