PSI - Issue 5

Adelaide Cerveira et al. / Procedia Structural Integrity 5 (2017) 1116–1122 Author name / Structural Integrity Procedia 00 (2017) 000 – 000

1122

7

50%&20% and 50%&40%, 75%&40%;

     

50%&40% and 75%&40%;

50%&60% and 75%&20%, 75%&60%;

50%&80% and 75%&80%; 75%&20% and 75%&60%; 75%&40% and 75%&60%.

4. Conclusions

From the statistical analysis of the results it is deduced that the cure humidity at 50% is significantly different from the remaining levels. Furthermore, the cure humidity 25%HR leads to greater compressive strength values. Concerning the inert/precursor ratio, in most of the cases, there are significantly differences. Furthermore, the compressive strength values increase, in general, as the ash percentage increases. A detailed analysis for the interaction results, allowed to conclude that, among the significantly interactions, the combinations that leads to greater compressive strength values are 25%&100% and 75%&100%. It should be noted that there are no significantly differences between this two former combinations. This can be also seen in Fig.2.

References

Fernández-Jiménez, A., Palomo, J.G., Puertas, F., 1999. Alakali-activated slag mortars Mechanical strength behavior. Cement and Concret Research 29, 1313-1321.

Green, S.B., Salking, N.J., 2008. Using SPSS for Windows: Analyzing and Understanding Data. Prentice Hall. Hair, J.F.J., Black, W.C., Babin, B.J., Anderson, R.E., 2010. Multivariate Data Analysis. Prentice Hall.

Marôco, J., (2007). Análise Estatística com o SPSS Statistics. 3ª Edição. Edições Sílabo, Lda.

McCullagh, P., Nelder, J.A., (1989). Generalized Linear Models, 2nd ed. Chapman and Hall: London.

Montgomery, D. C., 2001. Design and Analysis of Experiments. 5th Edition. JOHN Wiley and Sons, inc.

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