Non-destructive method of characterisation of radioactive waste containers using gamma spectroscopy and Monte Carlo techniques
Autor: | S. Feray, F. Damoy, M. Cometto, D. Ridikas |
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Rok vydání: | 2005 |
Předmět: |
Nuclear engineering
Monte Carlo method Full scale Industrial Waste Radiation Dosage Risk Assessment Sensitivity and Specificity Nuclear decommissioning Radiation Protection Nuclear Reactors Risk Factors Non destructive TRACER Materials Testing Radiology Nuclear Medicine and imaging Gamma spectroscopy Computer Simulation Radiometry Radioisotopes Radiation Models Statistical Radiological and Ultrasound Technology business.industry Construction Materials Public Health Environmental and Occupational Health Radioactive waste Reproducibility of Results General Medicine Equipment Design Equipment Failure Analysis Spectrometry Gamma Homogeneous Environmental science Nuclear medicine business Monte Carlo Method Algorithms |
Zdroj: | Radiation protection dosimetry. 115(1-4) |
ISSN: | 0144-8420 |
Popis: | During the decommissioning of the SATURNE accelerator at CEA Saclay (France), a number of concrete containers with radioactive materials of low or very low activity had to be characterised before their final storage. In this paper, a non-destructive approach combining gamma ray spectroscopy and Monte Carlo simulations is used in order to characterise massive concrete blocks containing some radioactive waste. The limits and uncertainties of the proposed method are quantified for the source term activity estimates using 1 3 7 Cs as a tracer element. A series of activity measurements with a few representative waste containers were performed before and after destruction. It has been found that neither was the distribution of radioactive materials homogeneous nor was its density unique, and this became the major source of systematic errors in this study. Nevertheless, we conclude that by combining gamma ray spectroscopy and full scale Monte Carlo simulations one can estimate the source term activity for some tracer elements such as 1 3 4 Cs, 1 3 7 Cs, "Co, etc. The uncertainty of this estimation should not be bigger than a factor of 2-3. |
Databáze: | OpenAIRE |
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