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FNG copper benchmark evaluation for the SINBAD database.

Authors :
Kodeli, Ivan
Angelone, Maurizio
Source :
Fusion Engineering & Design. Sep2019:Part A, Vol. 146, p312-315. 4p.
Publication Year :
2019

Abstract

The FNG-Copper benchmark mock-up is among the first SINBAD (Shielding Integral Benchmark Archive and Database) evaluations being prepared after a long pause. The neutronics benchmark experiment on a pure 60 × 60 × 69.946 cm3 Copper assembly was performed in the frame of the European Fusion Programme (Fusion for Energy -F4E) at the 14-MeV Frascati neutron generator (FNG) of ENEA Frascati with the objective to validate the copper nuclear cross-section data relevant for ITER design calculations, including the related uncertainties. A detailed evaluation of the experimental configuration, measurement system and results was performed for the SINBAD database with a particular focus on a realistic, complete and consistent estimation of uncertainties involved in the measurements and the calculations. Several input models for Monte Carlo (MCNP-5, -6) and deterministic (DORT) transport and sensitivity/uncertainty (SUSD3D) codes are provided using both very detailed and simplified geometry models and different neutron source modelling. To facilitate the use of the experimental data for nuclear data validation and improvement, the SINBAD compilation includes the energy dependent sensitivity profiles of the detector reaction rates with respect to the underlying cross-section data. The evaluation is to serve as an example to promote further SINBAD evaluations with the message that the benchmark experiment is not completed when the measurements are done, but only when all the detailed analysis is performed including the uncertainty assessment, and the complete information is preserved and stored for future use by the international community. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09203796
Volume :
146
Database :
Academic Search Index
Journal :
Fusion Engineering & Design
Publication Type :
Academic Journal
Accession number :
138152335
Full Text :
https://doi.org/10.1016/j.fusengdes.2018.12.053