WATER-TO-CEMENT RATIO PREDICTION USING ANNS FROM NON-DESTRUCTIVE AND CONTACTLESS MICROWAVE MEASUREMENTS

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...

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Bibliographic Details
Published in:Electromagnetic waves (Cambridge, Mass.) Mass.), 2009, Vol.94, p.311-325
Main Authors: Hasar, Ugur Cem, Akkaya, Gokay, Aktan, Mehmet, Gozu, Cuneyt, Aydin, Abdulkadir Cuneyt
Format: Article
Language:English
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Summary: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.
ISSN:1559-8985
1070-4698
1559-8985
DOI:10.2528/PIER09061008