Title of article :
A numerical method to improve the reconstruction of the activity content in homogeneous radioactive waste drums
Author/Authors :
Krings، نويسنده , , Thomas and Genreith، نويسنده , , Christoph and Mauerhofer، نويسنده , , Eric and Rossbach، نويسنده , , Matthias، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
6
From page :
262
To page :
267
Abstract :
Segmented γ -scanning (SGS) is the most widely applied technique to non-destructively reconstruct the isotope specific activity content in radioactive waste drums. Around 25% of all radioactive waste drums at the Forschungszentrum Jülich exhibit a homogeneous matrix distribution and activity distribution. Due to these conditions, a numerical method is derived, which largely enhances the accuracy and reliability of the activity reconstruction in comparison to the common analytical method by avoiding various simplifications in the calculations. merical method is validated with GEANT4 simulations of reference drums containing the isotopes 137Cs and 60Co. The activities, which are reconstructed with the numerical method in waste matrices with a density range from 0.5 g cm−3 to 2.3 g cm−3 show systematic deviations of around −2.1% and 4.0% in case of 137Cs and 60Co, respectively. These results show a significant improvement in accuracy compared to the analytical method revealing systematic deviations of around 14.8% and 23.2%, respectively. results are confirmed by the reconstruction of the activity content in a reference drum from SGS measurements. Uncertainties calculated in the numerical method are halved in comparison to the analytical method. Thus, the reliability of the reconstructed activities is enhanced.
Keywords :
Segmented gamma scanning , Radioactive waste characterization , Homogeneous waste matrix , Numerical activity reconstruction , Homogeneous activity distribution
Journal title :
Nuclear Instruments and Methods in Physics Research Section A
Serial Year :
2013
Journal title :
Nuclear Instruments and Methods in Physics Research Section A
Record number :
2193545
Link To Document :
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