Skip to Main content Skip to Navigation
Journal articles

Automated selection of nuclides and reactions of interest in a depletion simulation. Precision loss estimation for multiple outputs

Abstract : To accelerate depletion calculations, it is common to only consider a selection of isotopes. Simulating only a limited number of nuclides leads inevitably to some bias on the outputs of the depletion simulation. Most methods used are either implicit or dedicated to specific cases. This paper presents a new method, based on physics consideration and an explicit algorithm, that automatically selects isotopes and reactions for a depletion calculation. This method uses the creation and simplification of a nucleus tree gathering and linking together all nuclides that can possibly be created during the depletion process. This is performed by recursively adding nuclides possibly created from nuclides previously in the tree through decay or nuclear reaction. After the creation of the tree, it can be simplified by automatically cutting nuclides and reaction out through 3 processes: half-life threshold, cross-section threshold and reaction type cut. Using these simplification processes, the presented method leads to important calculation cost reduction (up to 40%) with effect on outputs lower than 3 times their stochastic standard deviation.
Document type :
Journal articles
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03171319
Contributor : Inspire Hep Connect in order to contact the contributor
Submitted on : Wednesday, October 20, 2021 - 10:02:15 AM
Last modification on : Wednesday, October 20, 2021 - 10:09:13 AM

File

authorprint_M. Ernoult, Jiali ...
Files produced by the author(s)

Identifiers

Citation

Marc Ernoult, Jiali Liang, Xavier Doligez, Nicolas Thiollière, Olivier Meplan, et al.. Automated selection of nuclides and reactions of interest in a depletion simulation. Precision loss estimation for multiple outputs. Prog.Nucl.Energy, 2021, 135, pp.103702. ⟨10.1016/j.pnucene.2021.103702⟩. ⟨hal-03171319⟩

Share

Metrics

Record views

251

Files downloads

34