Published October 2018 | Version v1
Journal article

New kinetic simulation capabilities for Tripoli-4®: Methods and applications

  • 1. Den-Service d'Etudes des Réacteurs et de Mathématiques Appliquées (SERMA), CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette (France)

Description

Highlights: • We illustrate the algorithms and methods for kinetic Monte Carlo in Tripoli-4. • We probe the variance reduction and population control techniques. • We test these new capabilities on the FLATTOP-PU and SPERT III E-core benchmarks. - Abstract: Thanks to the growing computer power, it is now feasible to apply Monte Carlo methods to the solution of non-stationary transport problems in reactor physics and in criticality-safety, which play an instrumental role in producing reference numerical solutions for the analysis of transients occurring during normal and accidental behaviour. In this respect, a major scientific challenge is represented by the very different time scales of neutrons and precursors, which demand distinct strategies and variance reduction techniques with respect to stationary simulations. In this work we will present the principal algorithms and simulation methods that have been explored and selected for the kinetic capabilities of Tripoli-4®, the production Monte Carlo code developed at CEA. The efficiency of the tested methods will be demonstrated on simple geometries as well as on step reactivity insertion and extraction due to control rod movements for the experimental reactor SPERT-III E-core. The solutions obtained by using Tripoli-4® will be compared to the point-kinetics approximation and to the asymptotic analysis based on alpha eigenvalues.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.anucene.2018.05.030

Additional details

Identifiers

DOI
10.1016/j.anucene.2018.05.030;
PII
S0306454918302676;

Publishing Information

Journal Title
Annals of Nuclear Energy (Oxford)
Journal Volume
120
Journal Page Range
p. 74-88
ISSN
0306-4549
CODEN
ANENDJ

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.