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PIER PIER B PIER C PIER M PIER Letters
2009-07-25
Water-to-Cement Ratio Prediction Using Anns from Non-Destructive and Contactless Microwave Measurements
By
Ugur Cem Hasar,

    Prof. Ugur Cem Hasar

    Electrical and Electronics Engineering

    Gaziantep University

    Turkey

    Homepage

Gokay Akkaya,

    Mr. Gokay Akkaya

    Department of Industrial Engineering

    Ataturk University

    Turkey

    Homepage

Mehmet Aktan,

    Dr. Mehmet Aktan

    Department of Industrial Engineering

    Ataturk University

    Turkey

    Homepage

Cuneyt Gozu,

    Dr. Cuneyt Gozu

    Department of Industrial Engineering

    Ataturk University

    Turkey

    Homepage

Abdulkadir Cuneyt Aydin

    Dr. Abdulkadir Cuneyt Aydin

    Department of Civil Engineering

    Ataturk University

    Turkey

    Homepage

Progress In Electromagnetics Research, Vol. 94, 311-325, 2009
doi:10.2528/PIER09061008
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
Ugur Cem Hasar, Gokay Akkaya, Mehmet Aktan, Cuneyt Gozu, and Abdulkadir Cuneyt 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
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