用Box-Behnken设计优化塑料废沥青粘结剂的体积比重

F. Santos, A. Alzona, Manny Taguba, Michael John Delos Santos
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引用次数: 1

摘要

废物管理和处置已成为各行各业面临的越来越大的挑战。在社区中大量的废物中,塑料被证明是对环境和社会健康构成威胁的主要问题。作为一种彻底的解决方案,各种研究已经探索了回收和将塑料掺入许多建筑材料中,以提高其潜力。本文旨在通过Sigma XL软件,利用响应面法(RSM)的Box-Behnken设计(BBD),建立数学模型,预测混合料中添加的塑料浓度、混合温度、塑料颗粒直径等重要参数之间的相互作用,得出热混合沥青中塑料废沥青粘结剂(PWBB)的最佳体积比重。实验结果表明,多元线性回归模型的相关系数为0.9878,表明残差的概率图与回归线拟合。最终,对于优化的输出,发现当粒径为7.43 mm,塑料添加浓度为8.32%,温度为160℃时,模型的最大堆积比重为2.52。
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Optimization of the Bulk Specific Gravity of Plastic Waste Bituminuous Binder using Box-Behnken Design
Waste management and disposal has been an increasing challenge for various industries. Of the wastes that are abundant in the community, plastics prove to be a major problem posing threats to the environment and societal health. As an outright solution, recycling and incorporating plastics to numerous construction materials have been explored in various studies for their potential improvement. This paper aims to generate a mathematical model that predicts the interaction among significant parameters such as plastic concentration added in the mixture, mixing temperature, and plastic particle diameter, and produce the optimum bulk specific gravity of the Plastic Waste Bituminous Binder (PWBB) in hot mix asphalt using the Box-Behnken Design (BBD) of the Response Surface Methodology (RSM) via Sigma XL software. Experimental results show that the multi-linear regression model obtained a correlation coefficient of 0.9878, indicating that the probability plot of the residuals fits the regression line. Ultimately, for the output of the optimization, it was found out that the model with a combination of 7.43 mm particle size, 8.32% concentration of plastic added at 160C yields the maximum bulk specific gravity of 2.52.
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