Accelerating Monte Carlo Shielding Calculations in TRIPOLI-4 with a Deterministic Adjoint Flux

Nowak, Michel; Mancusi, Davide; Sciannandrone, Daniele; Masiello, Emiliano; Louvin, Henri; Dumonteil, Éric

doi:10.1080/00295639.2019.1578568

Cited by 5 publications

(1 citation statement)

References 24 publications

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“…These are hybrid methods, in the sense that they combine Monte Carlo simulation with a deterministic (discrete-ordinate) calculation. They have been implemented in various codes (e.g., MCNP and TRIPOLI-4) for coupled neutron-gamma simulations and shielding calculations [18,19].…”

Section: Consistent Adjoint Driven Importance Sampling Methodsmentioning

confidence: 99%

Variance-Reduction Methods for Monte Carlo Simulation of Radiation Transport

2021

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After a brief description of the essentials of Monte Carlo simulation methods and the definition of simulation efficiency, the rationale for variance-reduction techniques is presented. Popular variance-reduction techniques applicable to Monte Carlo simulations of radiation transport are described and motivated. The focus is on those techniques that can be used with any transport code, irrespective of the strategies used to track charged particles; they operate by manipulating either the number and weights of the transported particles or the mean free paths of the various interaction mechanisms. The considered techniques are 1) splitting and Russian roulette, with the ant colony method as builder of importance maps, 2) exponential transform and interaction-forcing biasing, 3) Woodcock or delta-scattering method, 4) interaction forcing, and 5) proper use of symmetries and combinations of different techniques. Illustrative results from analog simulations (without recourse to variance-reduction) and from variance-reduced simulations of various transport problems are presented.

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Section: Consistent Adjoint Driven Importance Sampling Methodsmentioning

confidence: 99%

Variance-Reduction Methods for Monte Carlo Simulation of Radiation Transport

2021

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Efficiency of variance-reduction techniques using TRIPOLI-4®: Application to equivalent dose rate calculations in a spent-fuel cask

Bonin,

Petit

2024

EPJ Web Conf.

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This paper presents the comparison of different variance-reduction methods implemented in the Monte Carlo code TRIPOLI-4® in the case of a deep penetration problem. In this complex radiation transport situation, where the shielding is very thick to ensure protection, variance-reduction methods are necessary to obtain results with a good accuracy in a reasonable calculation time. The configuration investigated in this work is a spent-fuel transport cask. The various variance-reduction methods used here consist either of Importance Sampling with the Exponential Transform method, or of sophisticated population-control methods. These methods are detailed, then the results are presented and compared and the efficiency of these methods is investigated. While all methods implemented in TRIPOLI-4® are efficient versus analog simulations, the pre-calculation of importance maps with deterministic methods enables a faster convergence of the Monte Carlo simulations, especially when combined with the Exponential Transform.

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Overview of the TRIPOLI-4 Monte Carlo code, version 12

Hugot,

Jinaphanh,

Jouanne

et al. 2024

EPJ Nuclear Sci. Technol.

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In this paper we present an overview of the recent advances of the general-purpose Monte Carlo code TRIPOLI-4®, developed at CEA. The features described in this work, which refer to the current version 12 of the code, encompass applications to radiation shielding (variance-reduction methods: Consistent Adjoint-Driven Importance Sampling, Adaptive Multilevel Splitting, and Weight Windows), material activation calculations (Rigorous Two-Step Scheme), reactor physics (fission matrix, kinetics parameters, critical parameter search, kinetics with delayed neutron precursors), criticality-safety (perturbation and sensitivity methods: Standard and Generalized Perturbation Theory) and nuclear instrumentation (fission models, improvements in the electromagnetic shower models, and coupling with the code Geant4).

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Accelerating Monte Carlo Shielding Calculations in TRIPOLI-4 with a Deterministic Adjoint Flux

Cited by 5 publications

References 24 publications

Variance-Reduction Methods for Monte Carlo Simulation of Radiation Transport

Variance-Reduction Methods for Monte Carlo Simulation of Radiation Transport

Efficiency of variance-reduction techniques using TRIPOLI-4®: Application to equivalent dose rate calculations in a spent-fuel cask

Overview of the TRIPOLI-4 Monte Carlo code, version 12

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