## 4 Conclusions  
To understand how the input parameters affect the response variables when designing experiments, a systematic approach was used. The number of factors increase the number of interactions between the parameters necessary for factor planning dramatically. Thus, they also increase the possibilities that the interactions will not significantly influence the response. Because of this, here, fractional planning was proposed and compared with full planning for predicting self-compacting high-early-strength cement-based mortars' properties, aiming to reduce time and resources in the mixture design. Therefore, the main findings of the current work are as follows:  
* For the experimentation results for the slump-flow diameter, T-funnel time, flexural and compressive strength at 24 h, the response models were considered suitable to describe self-compacting high-early-strength cement-based mortars' properties over the experimental region;
* For the slump-flow diameter and for the T-funnel time, the input parameter Vs/Vm exhibited the strongest (negative) effect in all factorial designs--Full, Fractioned A, Fractionated B and Small, followed by factor Vw/Vp;
* The regression models of the slump-flow diameter and T-funnel needed a transformation for the Fractionated B plan; \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & **Full** & **Fractioned A** & **Fractioned B** & **Small** \\ \hline \hline \multirow{8}{*}{T-funnel} & \multirow{8}{*}{Almost half of the results showed discrepancies larger than 5\%, with 28\% of the results larger than 10\%.} & \multirow{8}{*}{Almost half of the results showed discrepancies with 14\% of the results larger than 5\%, with 21\% of the results larger than 10\%.} & \multirow{8}{*}{Half of the results showed discrepancies larger than 5\%, with 21\% of the results larger than 10\%.} & \multirow{8}{*}{The model with the largest discrepancy between the results—in value and quantity; No result showed a difference of less than 5\%. A total of 78\% of the results showed discrepancies larger than 10\%; The model with a larger range of results.} & \multirow{8}{*}{The model with the larger range of results.} & \multirow{8}{*}{The regression models of the slump-flow diameter and T-funnel needed a transformation for the Fractionated B plan;} \\ \cline{1-1} \cline{3-3} \cline{5-6}  & & Almost half of the results showed discrepancies larger than 5\%, with 35\% of the results larger than 10\%. & Over half of the results showed discrepancies larger than 5\%, with 35\% of the results larger than 10\%. & Over half of the results showed discrepancies larger than 5\%, with 35\% of the results larger than 10\%. \\ \hline \multirow{8}{*}{Rc,24h} & \multirow{8}{*}{All the model results showed discrepancies of less than 5\%.} & \multirow{8}{*}{All the model results showed discrepancies less than 5\%.} & \multirow{8}{*}{All the model results showed discrepancies less than 5\%.} & \multirow{8}{*}{All the model results showed discrepancies less than or equal to 5.1\%.} \\ \cline{1-1} \cline{3-3} \cline{5-6}  & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 13: _Cont._* The quadratic factor (Vs/Vm)\({}^{2}\) was found to have the main significant (negative) effect on F,24h for the Full and Fractionated A and B designs, while for the Small design, it was the factor Vw/Vp;
* The Vw/Vp was the second input parameter that most affected the Rc,24h with a negative effect for the Full and Fractionated A and B designs, while for the Small design, it was the interaction factor (Sp/p) \(\times\) (Vs/Vm);
* Compared to the remaining factors, the changes in the Sp/p used in the present CCD were small. Sp/p presented the lowest influence on the self-compacting high-early-strength cement-based mortars' properties compared to the other mixture parameters for all the factorial designs evaluated. * The models obtained from the Fractionated A and B plans have a good predictive capacity based on the discrepancies between the experimental and predicted results.