|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|366608||621454||2015||6 صفحه PDF||سفارش دهید||دانلود رایگان|
The paper describes the SNT.1 system for calculating the isotopic composition and induced activity of irradiated materials in innovative accelerator-driven systems (ADS). The SNT.1 algorithm, a list and the format of input data, a list of the evaluated nuclear data libraries to be used in calculations, and the potential calculation options are presented. The activity calculation for the water cooling of the Ta target in the TRADE project is presented, and the calculation results are compared with those obtained using other codes. The concentration and the activity of the nuclides formed during irradiation of a lead-bismuth target have been calculated with due regard for the variations in the accelerator current during irradiation. The possibility for neural networks to be used for the approximation and restoration of data, such as the reaction cross-sections, has been studied. The RBF and GRNN neural network structures were selected to approximate data on the 209Bi (n, 3n) 207Bi and 54Fe (n, p) 54Mn reaction cross-sections. Neural networks were used to restore data for the total cross-section of reactions of interaction with 209Bi nuclei. The approximation quality was assessed using agreement factors.
Journal: Nuclear Energy and Technology - Volume 1, Issue 1, September 2015, Pages 8–13