Optimization of mechanical properties of polymer concrete and mix design recommendation based on design of experiments

Abstract

A series of polymer concretes using furan resin, silica aggregates, and microfiller were prepared for statistically designed combinations. The combinations were designed based on the mixture-design concept of design of experiments. The fillers chosen for the present investigation were high-purity naturally occurring silica of different particle sizes, their mix proportion optimized to have minimum void. For each polymer concrete combination, the mechanical properties were studied. Each response (mechanical property) was individually optimized for maximum values and compared with the experimental data. To obtain a single-input combination, having maximum values in all the responses, a combined optimization was done and a mix design was recommended. The coefficient of correlation between the experimental values and predicted values was found to be high, proving the fitness of the selected model. The effect of individual variables on the response was discussed.

Lightweight Self-consolidating Concrete with Expanded Shale Aggregates: Modelling and Optimization

“…The experimental data are fed to a mathematical model through multiple linear regression analysis which consisted of the terms which are statistically significant at a 0.05 level. R 2 statistic, which gives a correlation between the experimental data and the predicted response, should be high enough for a particular model to be significant (Muthukumar and Mohan 2004).…”

Mix design process of polyester polymer mortars modified with recycled GFRP waste materials

“…In this study, in order to prevent this undesirable feature also detected in the previous experiments carried out by the present team [41], the effect of the incorporation of an adhesion promoter was also investigated and considered as a material factor. The Design of Experiments (DoE) methodology, which has been applied in recent years with success to design and as an optimization process of composite materials [42][43][44][45], was also applied in this study. Planning of experiments and data treatment was accomplished by means of mix-level full factorial design and analysis of variance ANOVA.…”

Prediction and multi-objective optimization of high-strength concrete parameters via soft computing approaches

“…Muthukumar and Mohan (2004) optimized mix proportions of polymer concrete to have minimum void. The mechanical properties were studied for each polymer concrete combination in their work.…”