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Small Sample Reactivity Worth Calculation: Comparison of Serpent2 and TRIPOLI4 Perturbation Techniques

Research outputpeer-review

Abstract

In support of lead cooled SMR technologies, oscillation experiments are under design at the VENUS-F fast zero-power reactor at the Belgian Nuclear Research Center SCK CEN. In this paper, the performance of two Monte Carlo codes to model small reactivity worth of an oscillating sample is compared. The capability of the first order perturbation theory implemented in Serpent2-XGPT is assessed by comparing it to the exact perturbation theory implemented in TRIPOLI4-IFP. A of merit is proposed to discriminate cases where approximated formulation is sufficient to those figure where the more accurate exact perturbation theory is needed. The analysis is performed in fast and thermal systems showing significant limitations of the first order perturbation in the latter. For calculating small sample reactivity worth in VENUS-F, Serpent2 first order perturbation method provided reliable results, although there are limitations on reactivity component due to scattering reactions.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025
PublisherAmerican Nuclear Society
Pages1156-1165
Number of pages10
ISBN (Electronic)9780894482229
DOIs
StatePublished - 2025
Event2025 - International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025 - Denver
Duration: 27 Apr 202530 Apr 2025

Publication series

NameProceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025

Conference

Conference2025 - International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025
Country/TerritoryUnited States
CityDenver
Period2025-04-272025-04-30

ASJC Scopus subject areas

  • Nuclear Energy and Engineering
  • Applied Mathematics

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