Bheel Naraindas, Kumar Dileep, Ismail Fouad Ismail, Salilew Waleligne Molla, Alwetaishi Mamdooh, Waheeb Sahl Abdullah, Alkhattabi Loai
Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Tronoh, Perak, 32610, Malaysia.
Department of Chemical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Tronoh, Perak, 32610, Malaysia.
Sci Rep. 2024 Nov 29;14(1):29724. doi: 10.1038/s41598-024-81345-7.
The increasing demand for cement has substantially affected the environment, and its manufacturing requires substantial energy usage. However, most countries in the world recently encountered a significant energy problem. So, researchers are exploring the use of agricultural and industrial waste resources with cementitious characteristics to minimize cement manufacturing, cut energy consumption, and contribute to environmental protection. Therefore, this research is performed on roller compacted concrete (RCC) reinforced with 5%, 10%, 15%, and 20% of corn cob ash (CCA) as substitution material with different percentage of cement and 0.25%, 0.50%, 0.75%, and 1% of jute fibre (JF) together for determining the mechanical properties and embodied carbon (EC) by applying response surface methodology (RSM) modelling. The cubical samples were prepared to achieve the targeted strength about 30 MPa at 28 days and then obtained mix proportions were employed for all combinations at various water-cement ratios to maintain roller-compacted concrete's zero slump. Results showed that at 0.50% JF and 10% CCA, the flexural strength, splitting tensile strength and compressive strengths, and modulus of elasticity of RCC obtained were 5.3 MPa, 3.8 MPa, 32.88 MPa, and 33.11 GPa at 28 days, respectively. Besides, the embodied carbon of RCC is recoded reducing with combined addition of different levels of JF and CCA as compared to control mixture. In addition, the generation of response prediction algorithms was performed using analysis of variance (ANOVA) at a threshold of significance of 95%. The coefficient of determination (R) readings for the statistical models ranged from 96 to 99%. It is observed that the use of 0.50% of JF along with 10% of CCA as cementitious constituent in RCC provides best outcomes. Therefore, this method is a superior choice for the construction industry.
水泥需求的不断增加已对环境产生了重大影响,并且其生产需要大量能源。然而,世界上大多数国家最近都遇到了严重的能源问题。因此,研究人员正在探索利用具有胶凝特性的农业和工业废料资源,以尽量减少水泥生产、降低能源消耗并促进环境保护。因此,本研究以分别用5%、10%、15%和20%的玉米芯灰(CCA)作为替代材料,与不同比例的水泥以及0.25%、0.50%、0.75%和1%的黄麻纤维(JF)共同增强的碾压混凝土(RCC)进行,通过应用响应面法(RSM)建模来确定其力学性能和隐含碳(EC)。制备立方体样品以在28天时达到约30MPa的目标强度,然后将获得的配合比用于不同水灰比的所有组合,以保持碾压混凝土的零坍落度。结果表明,在0.50%的JF和10%的CCA时,28天时获得的RCC的抗折强度、劈裂抗拉强度、抗压强度和弹性模量分别为5.3MPa、3.8MPa、32.88MPa和33.11GPa。此外,与对照混合物相比,RCC的隐含碳随着不同水平的JF和CCA的联合添加而减少。此外,使用方差分析(ANOVA)在95%的显著性阈值下生成响应预测算法。统计模型的决定系数(R)读数范围为96%至99%。可以观察到,在RCC中使用0.50%的JF与10%的CCA作为胶凝成分可提供最佳结果。因此,该方法是建筑业的一个优越选择。