Monte Carlo burnup codes acceleration using the correlated sampling method
type: Dataset
description: For several years, Monte Carlo burnup/depletion codes have appeared, which couple Monte Carlo codes to simulate the neutron transport to deterministic methods, which handle the medium depletion due to the neutron flux. Solving Boltzmann and Bateman equations in such a way allows to track fine 3-dimensional effects and to get rid of multi-group hypotheses done by deterministic solvers. The counterpart is the prohibitive calculation time due to the Monte Carlo solver called at each time step.In this document we present an original methodology to avoid the repetitive and time-expensive Monte Carlo simulations, and to replace them by perturbation calculations: indeed the different burnup steps may be seen as perturbations of the isotopic concentration of an initial Monte Carlo simulation. In a first time we will present this method, and provide details on the perturbative technique used, namely the correlated sampling. In a second time we develop a theoretical model to study the features of the correlated sampling method to understand its effects on depletion calculations. In a third time the implementation of this method in the TRIPOLI-4® code will be discussed, as well as the precise calculation scheme a meme to bring important speed-up of the depletion calculation. We will begin to validate and optimize the perturbed depletion scheme with the calculation of a REP-like fuel cell depletion. Then this technique will be used to calculate the depletion of a REP-like assembly, studied at beginning of its cycle. After having validated the method with a reference calculation we will show that it can speed-up by nearly an order of magnitude standard Monte-Carlo depletion codes.
landing page: https://theses.hal.science/tel-00934463
identifier: NNT: 2013PA112324
keyword: burn-up
keyword: calculs-en-evolution
keyword: correlated-sampling
keyword: depletion-calculations
keyword: echantillonnage-correle
keyword: infoeu-reposemanticsdoctoralthesis
keyword: irradiation
keyword: monte-carlo-simulation
keyword: neutronic
keyword: neutronique
keyword: perturbation
keyword: physcondcm-genphysics-physicscondensed-matter-cond-matother-cond-matother
keyword: root
keyword: simulation-monte-carlo
keyword: theses
keyword: tripoli-4
issued: 2026-05-07T07:41:16.099256
modified: 2026-05-07T07:41:16.099261
language: fr
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Monte Carlo burnup codes acceleration using the correlated sampling method
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00934463
issued: 2026-05-07T07:41:16.108723
modified: 2026-05-07T07:41:16.083071