TAILIEUCHUNG - Impact of correlations between core configurations for the evaluation of nuclear data uncertainty propagation for reactivity

In this paper, a traditional adjoint method is used to propagate ND uncertainty on reactivity and reactivity coefficients and estimate correlations between different states of the core. We show that neglecting those correlations induces a loss of information in the final uncertainty. | Impact of correlations between core configurations for the evaluation of nuclear data uncertainty propagation for reactivity EPJ Nuclear Sci. Technol. 3 6 2017 Nuclear Sciences T. Frosio et al. published by EDP Sciences 2017 amp Technologies DOI epjn 2016039 Available online at http REGULAR ARTICLE Impact of correlations between core configurations for the evaluation of nuclear data uncertainty propagation for reactivity Thomas Frosio1 Patrick Blaise2 and Thomas Bonaccorsi1 1 CEA Reactor Studies Department Reactor Physics and Fuel Cycle Division 13108 Saint Paul-Lez-Durance France 2 CEA Reactor Studies Department Experimental Physics Division 13108 Saint Paul-Lez-Durance France Received 2 April 2016 Received in final form 11 May 2016 Accepted 25 November 2016 Abstract. The precise estimation of Pearsons correlations also called representativity coefficients between core configurations is a fundamental quantity for properly assessing the nuclear data ND uncertainties propagation on integral parameters such as k-eff power distributions or reactivity coefficients. In this paper a traditional adjoint method is used to propagate ND uncertainty on reactivity and reactivity coefficients and estimate correlations between different states of the core. We show that neglecting those correlations induces a loss of information in the final uncertainty. We also show that using approximate values of Pearson does not lead to an important error of the model. This calculation is made for reactivity at the beginning of life and can be extended to other parameters during depletion calculations. 1 Introduction In this document we will assess the impact of ND uncertainties on reactivity coefficients at the beginning of Sensitivity analysis plays an important role in the field of life to simplify the problem. The method can be extended to core physics as nuclear data ND uncertainty propagation depletion calculations and to other local parameters. In this and quantification .

• Năng lượng
• Traditional adjoint method
• Impact of ND
• Impact of correlations
• Evaluation of nuclear data
• Material testing reactors
• Flow Instability
• IPR R1 TRIGA
• Nuclear Reactor
• Decay Heat
• Nuclear Data