Uncertainty quantification for a vessel fluence calculation: A PWR case study

The European project Experiments for Validation and Enhancement of the REactor preSsure vessel fluence assessmenT (EVEREST) was launched in 2024 with the goal to employ advanced multiphysics tools to contribute to Long Term Operation (LTO) of nuclear power plants (NPP). The improvement of the reactor pressure vessel (RPV) fluence calculations is one of the overarching aims of this research endeavor, alongside a quantification of the modeling biases and uncertainties related to the standard computational methods. In the framework of the EVEREST project, EPFL has set up a new methodology for vessel fluence calculation based on Polaris/PARCS/Serpent and applied it to the Turkey Point 3 Pressurized Water Reactor (PWR), leveraging on public core design and operating data. This paper aims at presenting the results of the sensitivity analysis and uncertainty quantification performed for this application case. A novel integrated workflow to propagate uncertainties in the whole computational chain of vessel fluence calculations is described. The analysis covers core follow modeling, source preparation and shielding calculations, tackling the uncertainty due to material densities, geometry and nuclear data. Both standard Sandwich Formula (SF) and Total Monte-Carlo (TMC) techniques have been used for this scope. The UQ performed in this study revealed an analytical uncertainty associated with the fast flux at the thermal shield and the reactor pressure vessel location between 8 and 10%. The main contributors are the uncertainties on nuclear data and manufacturing tolerances in shielding calculations. This work contributes to the implementation of the Best Estimate Plus Uncertainty (BEPU) approach for assessing radiation damage in nuclear reactor structural materials. • LTO needs accurate RPV fast fluence prediction and uncertainty quantification. • An uncertainty quantification methodology for RPV fluence calculations is proposed. • For a PWR case study, the total analytical uncertainty is found to be between 8-10%. • The most significant contributors for this application case are identified. • Nuclear data and fabrication tolerances in shielding calculations prevail. • Special attention is given to angular distributions of secondary scattering neutrons.

Authors

Institutions

Publication Details

Journal
Progress in Nuclear Energy
Published
2026-01-07
DOI
https://doi.org/10.1016/j.pnucene.2025.106234
Primary Topic
Nuclear reactor physics and engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uncertainty quantification for a vessel fluence calculation: A PWR case study

Alexander Vasiliev, Mathieu Hursin, D. Rochman, D. Timpano
Progress in Nuclear Energy
Nuclear reactor physics and engineering
article

Uncertainty quantification for a vessel fluence calculation: A PWR case study

Alexander Vasiliev, Mathieu Hursin, D. Rochman, D. Timpano
article en

Abstract

The European project Experiments for Validation and Enhancement of the REactor preSsure vessel fluence assessmenT (EVEREST) was launched in 2024 with the goal to employ advanced multiphysics tools to contribute to Long Term Operation (LTO) of nuclear power plants (NPP). The improvement of the reactor pressure vessel (RPV) fluence calculations is one of the overarching aims of this research endeavor, alongside a quantification of the modeling biases and uncertainties related to the standard computational methods. In the framework of the EVEREST project, EPFL has set up a new methodology for vessel fluence calculation based on Polaris/PARCS/Serpent and applied it to the Turkey Point 3 Pressurized Water Reactor (PWR), leveraging on public core design and operating data. This paper aims at presenting the results of the sensitivity analysis and uncertainty quantification performed for this application case. A novel integrated workflow to propagate uncertainties in the whole computational chain of vessel fluence calculations is described. The analysis covers core follow modeling, source preparation and shielding calculations, tackling the uncertainty due to material densities, geometry and nuclear data. Both standard Sandwich Formula (SF) and Total Monte-Carlo (TMC) techniques have been used for this scope. The UQ performed in this study revealed an analytical uncertainty associated with the fast flux at the thermal shield and the reactor pressure vessel location between 8 and 10%. The main contributors are the uncertainties on nuclear data and manufacturing tolerances in shielding calculations. This work contributes to the implementation of the Best Estimate Plus Uncertainty (BEPU) approach for assessing radiation damage in nuclear reactor structural materials. • LTO needs accurate RPV fast fluence prediction and uncertainty quantification. • An uncertainty quantification methodology for RPV fluence calculations is proposed. • For a PWR case study, the total analytical uncertainty is found to be between 8-10%. • The most significant contributors for this application case are identified. • Nuclear data and fabrication tolerances in shielding calculations prevail. • Special attention is given to angular distributions of secondary scattering neutrons.

Progress in Nuclear EnergyVol. 193
Paul Scherrer Institute (CH), Centre d'Imagerie BioMedicale (CH), École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 96%
Nuclear reactor physics and engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.