Issue |
EPJ Web Conf.
Volume 308, 2024
ISRD 17 – International Symposium on Reactor Dosimetry (Part II)
|
|
---|---|---|
Article Number | 01006 | |
Number of page(s) | 8 | |
Section | Experimental Techniques, Measurements and Monitoring | |
DOI | https://doi.org/10.1051/epjconf/202430801006 | |
Published online | 11 November 2024 |
https://doi.org/10.1051/epjconf/202430801006
On the effect of the core boundary power distribution on the radiation situation in reactor components
1 Research Center Rez, Husinec-Rez, 250 68, 130, Czech Republic
2 Masaryk University, Botanická 15, Brno 612 00, Czech Republic
3 University of Defence, Kounicova 65, 662 10 Brno, Czech Republic
4 NRC Kurchatov Institute Sciences, Russia
* Corresponding author: Michal.Kostal@cvrez.cz
Published online: 11 November 2024
The assessment of the neutron flux distribution in nuclear power plant components, like reactor internals and the pressure vessel, is one of the most important parts of their residual lifetime evaluation process because the irradiation damage of these components is strongly dependent on it. The fast neutron fluences in power reactors are generally determined using calculations and verified by measurements. Discrepancies between them sometimes occur, which can be caused by be the inaccuracies in the power distribution used in neutron transport calculations. This paper quantifies the effect of uncertainty in power density on the neutron fluences behind the reactor pressure vessel (RPV). An increase in power density was experimentally simulated by implementing a higher uranium enrichment of certain selected pins. The experiment was also simulated using the MCNP code with the ENDF/B-VII.1 library. Both the experimental and calculational data show a significant local increase in neutron flux. Even behind the RPV, the increase is as high as 25%, while the local power increase in the perturbed pins is about 70–80%, which is approximately equal to the 2 σ power density uncertainties. A good agreement between measurement and calculation was found.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.