Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2010.2831.2838ZainM.F.M.M. AbdSuhadHamidRoszilahJamilM.1220101022In this study, the potential for utilising properties of concrete as a powerful tool to predict its compressive strength at different ages has been realised. Novel mathematical models were proposed and developed using multiple non-linear regression equations to predict the concrete strength. The variables used in the prediction models, such as the mix proportion elements, were statistically analysed. According to the analysis, the models provided a good estimation of compressive strength and yielded good correlations with the data used in this study. The correlation coefficients were 0.995 for the prediction of 7- and 28-day compressive strength. Moreover, the proposed models proved to be a significant tool in predicting the compressive strength of different concretes despite variations in the data used to validate the model.]]>Akkurt, S., G. Tayfur and S. Can,2004Hamid-Zadeh, N., A. Jamli, N. Nariman-Zadeh and H. Akbarzadeh,2006Hwang, K., T. Noguchi and F. Tomosawa,2004Kheder, G.F., A.M. Al-Gabban and M.A. Suhad,2003Mehta, P.K. and P.J.M. Monteiro,2006Jee, N., Y. Sangchun and C. Hongbum,2004in situ concrete based on mixture proportions.]]>Neville, A.M.,1996Popovics, S.,1990Popovics, S.,1992Han, S.H., J.K. Kim and Y.D. Park,2003Steven, C., C. Raymond and P. Canale,2002Tsivilis, S. and G. Parissakis,1995Zain, M.F.M., H.B. Mahmud, A. Ilham and M. Faizal,2002Zelic, J., D. Rusic and R. Krstulovic,2004Zain, M.F.M. and S.M. Abd, 2009Abd, A.M., S.M. Abd, A. Ismail and M.F.M. Zain,2008