Experimental identification of turbulent fluid forces applied to fuel assemblies using an uncertain model
type: Dataset
description: This research is devoted to the identification of stochastic loads applied to fuel assemblies using an uncertain computational model and experimental measurements of responses. The stochastic loads applied to the structure are induced by a turbulent flow. The structure is made up of a nonlinear complex dynamical system. The experimental responses of the structure are obtained from strain sensors located on the structure. There are several sources of uncertainties in this experimental identification problem of the stochastic loads: uncertainties on the nonlinear dynamical computational model of the structure (fuel assemblies), uncertainties on parameters of the mathematical model of the stochastic loads themselves and finally, measurements errors. All these sources of uncertainties are identified and taken into account in the identification process of the stochastic loads. Then, the stochastic nonlinear dynamical computational model of fuel assemblies on which the identified stochastic loads are applied yield interesting results concerning the robustness of the estimation of the frettingwear of fuel rods.
issued: 2026-05-18T04:20:30.437992
language: en
modified: 2026-05-18T04:20:30.437999
contact point: Organization
  fn: CCSD
keyword: computational-mechanics
keyword: conference-papers
keyword: infoeu-reposemanticsconferenceobject
keyword: mathmath-prmathematics-mathprobability-mathpr
keyword: spimecaengineering-sciences-physicsmechanics-physicsmed-ph
keyword: uncertainty-quantification
landing page: Tenth U. S. National Congress on Computational Mechanics (USNCCM X 2009)

Experimental identification of turbulent fluid forces applied to fuel assemblies using an uncertain model
type: Distribution
format: HTML
issued: 2026-05-18T04:20:30.486642
modified: 2026-05-18T04:20:30.411346
access URL: https://hal.science/hal-00699006

test_moissonnage_selune
type: Agent