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Progress In Electromagnetics Research
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WATER-TO-CEMENT RATIO PREDICTION USING ANNS FROM NON-DESTRUCTIVE AND CONTACTLESS MICROWAVE MEASUREMENTS

By U. C. Hasar, G. Akkaya, M. Aktan, C. Gozu, and A. C. Aydin

Full Article PDF (416 KB)

Abstract:
In concrete industry, there is a need for water-to-cement ratio (w/c) estimation of cement-based materials since the w/c ratio of cement mixtures is typically given at the batch plant, and this ratio, sometimes, is deliberately changed to have a more workable cement mixture. To meet the requirements of accurate w/c ratio determination of cement-based materials, in this research paper, we propose an artificial neural network approach for w/c ratio estimation of these materials using free-space non-contact reflection and transmission measurements of mortar specimens with w/c ratios of 0.40, 0.45, 0.50, 0.55 and 0.60. We have tested the network and observed less than 5 percent difference between the estimated and known values of w/c = 0.50.

Citation:
U. C. Hasar, G. Akkaya, M. Aktan, C. Gozu, and A. C. Aydin, " water - to - cement ratio prediction using anns from non - destructive and contactless microwave measurements ," Progress In Electromagnetics Research, Vol. 94, 311-325, 2009.
doi:10.2528/PIER09061008
http://www.jpier.org/PIER/pier.php?paper=09061008

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