- Simulation of the ambient dose rate caused by loaded disposal containers
- Consideration of Konrad containers of different sizes and with different shielding configurations as well as MOSAIK® containers, also with or without shielding
- Compliance with the conditions for acceptance of the interim storage facility and the Konrad repository as well as the limit values of the ADR transport guidelines
- Analysis of the nuclide vector and selection of the relevant gamma emitters
- Determination of suitable container configurations and development of the corresponding geometric models
- Calculation of the dose rate averaged over the surface of the containers and at certain distances
- Determination of the spatial distribution of the dose rate on the surface of the containers in order to acquire its maximum values in addition to the surface averaged values
- Simulation of bare waste matrices for consideration of the dose rate limit values of the ADR transport guidelines
For each container configuration considered, the nuclide-specific contributions to the dose rate are calculated for different load masses. This takes into account the self-shielding effects of real waste for containers with different loads.
The calculations outlined above are performed for homogenized waste matrices. The segmentation of large components can be planned on the basis of the results. It should be considered whether a decay storage at the site comes into question, because the simulation results also allow conclusions to be drawn about the development of the dose rate over time. Thus, a radiological overloading can be planned reliably and the number of required containers can be reduced.
During the implementation of the dismantling project, it is advisable to simulate selected containers with realistic waste matrices. In this way, the statements on the maximum values of the dose rate on the surface of the corresponding containers can be substantiated, e.g., by incorporating streaming effects caused by cavities and inhomogeneities in the waste matrix.