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  • [ X ]
    Öğe
    Gamma ray shielding properties of CeO2-added hydroxyapatite composite
    (Springer, 2022) Almisned, Ghada; Akkurt, Iskender; Tekin, Huseyin Ozan; Dogan, Serap Ozhan; Erdamar, Isik Yesim Dicle
    It is hard to control radiation especially if it is chargeless such as gamma rays. The radiation shielding is expressed in terms of some radiological parameters such as LAC, HVL, TVL, mfp, Z(eff), N-eff, and C-eff. In this study, the gamma ray shielding properties of hydroxyapatite (HAp) composites have been obtained and the effect of CeO2 on the shielding properties has also been investigated.
  • [ X ]
    Öğe
    Prediction of radiation shielding properties for concrete by artificial neural networks
    (Springer Heidelberg, 2022) Imamoglu, Meltem Y.; Akkurt, Iskender; Arslankaya, Seher; Malidarre, Roya Boodaghi; Erdamar, Isik Yesim Dicle
    With discovering of radioactivity in the last century, the radiation started to be used in different fields, and due to its hazardous effect for human cell, radiation shielding became one of the most important topics for researcher. Besides using conventional materials such as concrete- and lead-based materials, improvement of their radiation shielding properties has also been popular. Theoretical calculation and setting up model to obtain linear attenuation coefficients to predict radiation shielding properties are the main ways for this purpose. In this study, the linear attenuation coefficients of concrete produced by adding ulexite in different rates have been predicted using the artificial neural network (ANN) model for 1 keV to 100 GeV photon energies. The main input for the ANN model was photon energy, density and ulexite rate in concrete, and the results were obtained by XCOM. The obtained ANN results were compared with the results obtained by XCOM calculations, and %99 linear correlations have been observed.