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    • Keywords


      Cement; artificial neural network; MCNPX; neutron activation analysis.

    • Abstract


      Determination of concentration of major elements such as Ca, Si, Al, and Fe in cement is very important for quality control during its production, correct classification according to the existing standards, and thus for appropriate use in the construction industry. For this purpose, neutron activation analysis is verysuitable. In this preliminary theoretical work, the irradiation and consecutive measurement of the percentage of the constituent elements in different cement samples were done using MCNPX with γ -ray spectra as the output. Specific peaks of Ca, Si, Al, and Fe obtained from these spectra were used as input for artificial neural network (18 of them for training and 8 for testing) resulting in the determination of each element in the given sample. The mean absolute errors of the results are less than 0.4%, which is very promising for the future xperimental work where the uncertainties are usually one order higher.

    • Author Affiliations



      1. Young Researchers and Elite Club, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
      2. Radiation Application Department, Shahid Beheshti University, Tehran, Iran
      3. Department of Electrical Engineering, Kermanshah University of Technology, Kermanshah, Iran
    • Dates

  • Pramana – Journal of Physics | News

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      Posted on July 25, 2019

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