Evaluation of homogeneity of radioactive waste forms: Statistical criteria

Rzyski, B.M.; Suarez, A.A.

doi:10.1016/0191-815x(88)90028-9

Cited by 8 publications

(3 citation statements)

References 2 publications

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“…The major contributors to the uncertainty of a ETM are the weight/ density of the waste, the activity distribution within a package, the geometry of the waste items, and the relative position detector/ package. A reasonable sorting, based for example on dose rate ranges, helps to limit the effects of activity hotspots (Rzyski and Suarez, 1988). Compaction of high volume objects and filling with small-sized items are effective techniques to create more uniform waste packages.…”

Section: Uncertainty On Etm Radionuclidesmentioning

confidence: 99%

Uncertainty quantification applied to the radiological characterization of radioactive waste

Zaffora

Magistris

Saporta

et al. 2017

Applied Radiation and Isotopes

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This paper describes the process adopted at the European Organization for Nuclear Research (CERN) to quantify uncertainties affecting the characterization of very-low-level radioactive waste. Radioactive waste is a by-product of the operation of high-energy particle accelerators. Radioactive waste must be characterized to ensure its safe disposal in final repositories. Characterizing radioactive waste means establishing the list of radionuclides together with their activities. The estimated activity levels are compared to the limits given by the national authority of the waste disposal. The quantification of the uncertainty affecting the concentration of the radionuclides is therefore essential to estimate the acceptability of the waste in the final repository but also to control the sorting, volume reduction and packaging phases of the characterization process. The characterization method consists of estimating the activity of produced radionuclides either by experimental methods or statistical approaches. The uncertainties are estimated using classical statistical methods and uncertainty propagation. A mixed multivariate random vector is built to generate random input parameters for the activity calculations. The random vector is a robust tool to account for the unknown radiological history of legacy waste. This analytical technique is also particularly useful to generate random chemical compositions of materials when the trace element concentrations are not available or cannot be measured. The methodology was validated using a waste population of legacy copper activated at CERN. The methodology introduced here represents a first approach for the uncertainty quantification (UQ) of the characterization process of waste produced at particle accelerators.

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Section: Uncertainty On Etm Radionuclidesmentioning

confidence: 99%

Uncertainty quantification applied to the radiological characterization of radioactive waste

Zaffora

Magistris

Saporta

et al. 2017

Applied Radiation and Isotopes

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“…Also, homogeneity of the solidifying matrix as well as the waste distribution are the most important properties for acceptance of waste forms in long-term storage. 15 Various physicochemical properties including density, porosity, permeability, compressive strength, radiation damage, and thermal conductivity of immobilized waste can be significantly varied in heterogeneous and homogeneous waste matrices.…”

Section: Introductionmentioning

confidence: 99%

Effect of ion exchange resin particle size on homogeneity and leachability of Cs and Co in polymer waste form

Kim

Singh

2021

RSC Adv.

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“…A reasonable sorting, based for example on dose rate ranges, helps to limit the effects of activity hotspots (Rzyski and Suarez, 1988). Compaction of high volume objects and filling with small-sized items are effective techniques to create more uniform waste packages.…”

Section: Uncertainty On Etm Radionuclidesmentioning

confidence: 99%

A new approach to characterize very-low-level radioactive waste produced at hadron accelerators

Zaffora,

Magistris,

Chevalier

et al. 2017

Applied Radiation and Isotopes

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. A B S T R A C TThis paper describes the process adopted at the European Organization for Nuclear Research (CERN) to quantify uncertainties affecting the characterization of very-low-level radioactive waste. Radioactive waste is a by-product of the operation of high-energy particle accelerators. Radioactive waste must be characterized to ensure its safe disposal in final repositories. Characterizing radioactive waste means establishing the list of radionuclides together with their activities. The estimated activity levels are compared to the limits given by the national authority of the waste disposal. The quantification of the uncertainty affecting the concentration of the radionuclides is therefore essential to estimate the acceptability of the waste in the final repository but also to control the sorting, volume reduction and packaging phases of the characterization process. The characterization method consists of estimating the activity of produced radionuclides either by experimental methods or statistical approaches. The uncertainties are estimated using classical statistical methods and uncertainty propagation. A mixed multivariate random vector is built to generate random input parameters for the activity calculations. The random vector is a robust tool to account for the unknown radiological history of legacy waste. This analytical technique is also particularly useful to generate random chemical compositions of materials when the trace element concentrations are not available or cannot be measured. The methodology was validated using a waste population of legacy copper activated at CERN. The methodology introduced here represents a first approach for the uncertainty quantification (UQ) of the characterization process of waste produced at particle accelerators.

show abstract

Evaluation of homogeneity of radioactive waste forms: Statistical criteria

Cited by 8 publications

References 2 publications

Uncertainty quantification applied to the radiological characterization of radioactive waste

Uncertainty quantification applied to the radiological characterization of radioactive waste

Effect of ion exchange resin particle size on homogeneity and leachability of Cs and Co in polymer waste form

A new approach to characterize very-low-level radioactive waste produced at hadron accelerators

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