3567596
doi
10.5281/zenodo.3567596
oai:zenodo.org:3567596
user-cortex
user-eu
ASSESSMENT OF THE NEUTRON NOISE INDUCED BY STATIONARY FUEL ASSEMBLY VIBRATIONS IN A LIGHT WATER REACTOR
Verma V., Demazière C., Vinai P., Ricciardi G., and Jacqmin R
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Neutron noise, noise analysis, fuel assembly vibration, frequency domain, CORE SIM
<p>A systematic increase of the neutron noise levels over time has been observed in some<br>
of the pre-KONVOI PWRs operating in Europe. A possible reason for this anomaly<br>
was identified as increased mechanical vibrations of reactor internals, specifically of fuel<br>
assemblies. To verify this conjecture, the modeling of stationary vibrations of fuel assemblies<br>
and of the corresponding neutron noise is essential. In this paper, using the =d<br>
model basis, we illustrate the modeling of the neutron noise sources for fuel assembly vibrations<br>
and study the effect of homogenization of cross sections on such stationary perturbations.<br>
A comparative analysis between the classical nodal approach (both localized<br>
at the boundaries of the vibrating fuel assembly or involving the entire neighboring fuel<br>
assemblies) and a pin-wise approach shows that the ‘boundary-localized’ nodal approach<br>
seems to capture local noise information, as a pin-wise approach would do, without the<br>
need of a complex pin-by-pin model when the detectors are placed close to the perturbation.<br>
However, when considering region of the active core away from the perturbation, all<br>
three approaches lead to comparable results.</p>
Zenodo
2019-08-25
info:eu-repo/semantics/conferencePaper
3567595
user-cortex
user-eu
award_title=Core monitoring techniques and experimental validation and demonstration; award_number=754316; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/754316; funder_id=00k4n6c32; funder_name=European Commission;
1678381511.45274
1188679
md5:04fa5a8ba1c261bb6323cb1671230c57
https://zenodo.org/records/3567596/files/2019_Verma_MC2019_paper_V1.pdf
public
10.5281/zenodo.3567595
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doi