Research Article
Optimization of Mixture Proportions of High Strength High Performance Concrete Incorporating Rice Husk Ash by Using Response Surface Methodology
@INPROCEEDINGS{10.4108/eai.20-1-2018.2282090, author={Syamsul Bahri and H.B Mahmud and Payam Shafigh}, title={Optimization of Mixture Proportions of High Strength High Performance Concrete Incorporating Rice Husk Ash by Using Response Surface Methodology}, proceedings={Proceedings of the 1st Workshop on Multidisciplinary and Its Applications Part 1, WMA-01 2018, 19-20 January 2018, Aceh, Indonesia}, publisher={EAI}, proceedings_a={WMA-1}, year={2019}, month={9}, keywords={rice husk ash optimization high strength performance concrete response surface methodology box-behnken design}, doi={10.4108/eai.20-1-2018.2282090} }- Syamsul Bahri
H.B Mahmud
Payam Shafigh
Year: 2019
Optimization of Mixture Proportions of High Strength High Performance Concrete Incorporating Rice Husk Ash by Using Response Surface Methodology
WMA-1
EAI
DOI: 10.4108/eai.20-1-2018.2282090
Abstract
Five key variables of high-strength high performance concrete (HSHPC) were considered in the models developed such as water-to-binder ratios (w/b), binder contents, percentages of partial cement replacement with rice husk ash (RHA), ratios of fine aggregate to total aggregate (fa/ta), and percentages of superplasticizer dosage. Box Behnken Design (BBD) experiment and response surface methodology (RSM) were applied to determine the models that can optimize mix proportion consisting of the five variables with three levels leading to optimal slump value, compressive strength at age of 1 and 28-days. The quadratic model is statistically acceptable compared other models. The prediction of optimum values and the clarification of the interactions between the specified range factors were done by using the quadratic model and analysis of variance (ANOVA). The models were able to accurately predict the response of slump and compressive strength of HSHPC less than 5% error. The results proved that the models show that ratio w/b, binder contents, percentages of partial cement replacement with RHA and percentages of superplasticizer dosage have a significant effect on the slump and compressive strength of concrete. It shows that the proposed response models provide useful information regarding the mixture optimization for securing target strength and cost-effective of HSHPC.
