Uncertainty Quantification Of Fuel Assembly Bow In Pressurized Water Reactor Through a Thermomechanical Simulation

  • Ali Abboud
  • , Josselin Garnier
  • , Bertrand Leturcq
  • , Julien Pacull
  • , Olivier Fandeur
  • , Stanislas de Lambert

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the core of nuclear reactors, fluid-structure interaction and intense irradiation lead to progressive deformation of fuel assemblies. Detrimental deformation can lead to additional costs, constrained core operation due to longer fuel unloading and reloading operations. Therefore, it is preferable to adopt a fuel management that avoids excessive deformation and interactions between fuel assemblies. However, the prediction of deformation and interactions between fuel assemblies is complex. Uncer-tainties affect neutronics, thermohydraulics and thermomechanics parameters. These are propagated through the coupling of non-linear, nested and multidimensional thermal-hydraulic uncertainties and thermomechanical simulations. This article studies a structural model of the fuel assembly and quantifies its uncertainties. The objective is achieved through a multi-stage approach, beginning with an initial sensitivity analysis to identify the most influential parameters in the mechanical model. The sensitivity analysis aims to build an accurate and suitable surrogate model that represents the mechanical behavior of fuel assembly bowing within the reactor core. This surrogate model is then integrated with the hydraulic model developed in [A. Abboud et al., BEPU 2024, 272] to quantify the final uncertainties in simulating fuel assemblies deformation within a pressurized water reactor.

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
Pages1612-1621
Number of pages10
ISBN (Electronic)9780894482229
DOIs
Publication statusPublished - 1 Jan 2025
Externally publishedYes
Event2025 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025 - Denver, United States
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
Period27/04/2530/04/25

Keywords

  • Assembly bow
  • Surrogate Modeling
  • Thermal Hydraulics
  • Thermomechanics
  • Uncertainty Quantification

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