Priyan M Vishnu, Annadurai R, Onyelowe Kennedy C, Alaneme George Uwadiegwu, Giri Nimay Chandra
Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, 603203, Tamil Nadu, India.
Department of Civil Engineering, Michael Okpara University of Agriculture, Umudike, Nigeria.
Sci Rep. 2023 Oct 2;13(1):16509. doi: 10.1038/s41598-023-43919-9.
The present investigation aims to examine the mechanical and durability properties of concrete that has been reinforced with a waste printed circuit board (WPCB) towards a low-carbon built environment. It assessed the fresh and hardened characteristics of the low-carbon concrete reinforced with WPCB fibres, after a curing period of 7 and 28 days. The evaluation was done by quantifying slump, compressive strength, split tensile strength, flexural strength, sorptivity, rapid, and acid tests. It further analysed eleven discrete concrete mixes with WPCB fibres at a weight percentage ranging from 1 to 5% in the cement mixture. The results indicate that incorporating WPCB fibre into concrete improves its mechanical strength. The results revealed that incorporating 5% WPCB fibre yielded the most favourable outcomes. The properties of WPCB fibre-reinforced concrete have been theoretically validated through Response Surface Methodology (RSM), which employs various statistical and mathematical tools to analyse the experimental data. The results derived from RSM were compared with the experimental results. It was found that the RSM model demonstrated a high level of accuracy (R ≥ 0.98) in validating the mechanical properties of WPCB fibre concrete. The statistical model exhibited no indication of prediction bias and demonstrated a statistically significant outcome, with a p-value below 0.5.
本研究旨在考察用废弃印刷电路板(WPCB)增强的混凝土在低碳建筑环境中的力学性能和耐久性。在养护7天和28天后,评估了用WPCB纤维增强的低碳混凝土的新拌特性和硬化特性。通过量化坍落度、抗压强度、劈裂抗拉强度、抗弯强度、吸水性、快速试验和酸试验进行评估。它进一步分析了11种离散的混凝土混合物,其中WPCB纤维在水泥混合物中的重量百分比范围为1%至5%。结果表明,在混凝土中掺入WPCB纤维可提高其机械强度。结果显示,掺入5%的WPCB纤维产生了最有利的结果。通过响应面法(RSM)从理论上验证了WPCB纤维增强混凝土的性能,该方法采用各种统计和数学工具来分析实验数据。将RSM得出的结果与实验结果进行了比较。结果发现,RSM模型在验证WPCB纤维混凝土的力学性能方面表现出高度的准确性(R≥0.98)。该统计模型没有显示出预测偏差的迹象,并显示出具有统计学意义的结果,p值低于0.5。