Development and analysis of high order neutron transport-depletion coupling algorithms
type: CreativeWork
description: The coupling of depletion and neutron transport together creates a particularly challenging mathematical problem. Due to the stiffness of the ODE, special algorithms needed to be developed to minimize the number of transport simulations required. In addition, for stochastic transport, both the time step and the number of particles per time step need to be considered. In recent years, many new coupling algorithms have been developed. However, relatively little analysis of the numeric and stochastic convergence of these techniques has been performed. In this document, several new algorithms are introduced. Some are improvements of current techniques, some are taken from similar problems in other fields, and some are derived from scratch for this specific problem. These were then tested on several test problems to investigate their convergence. With regard to numerical error, the CF4 algorithm (a commutator-free Lie integrator) outperformed all tested algorithms. In number of transport simulations to achieve a 0.1% gadolinium relative error, CF4 requires half the simulations. With regard to stochastic error, it was found that once a time step is sufficiently reduced, errors are mostly a function of the number of particles used during the simulation. The remaining variability is due to how stochastic noise propagates through each numerical integrator. Using this information, a technique is developed to minimize the cost of running a depletion simulation.
abstract: The coupling of depletion and neutron transport together creates a particularly challenging mathematical problem. Due to the stiffness of the ODE, special algorithms needed to be developed to minimize the number of transport simulations required. In addition, for stochastic transport, both the time step and the number of particles per time step need to be considered. In recent years, many new coupling algorithms have been developed. However, relatively little analysis of the numeric and stochastic convergence of these techniques has been performed. In this document, several new algorithms are introduced. Some are improvements of current techniques, some are taken from similar problems in other fields, and some are derived from scratch for this specific problem. These were then tested on several test problems to investigate their convergence. With regard to numerical error, the CF4 algorithm (a commutator-free Lie integrator) outperformed all tested algorithms. In number of transport simulations to achieve a 0.1% gadolinium relative error, CF4 requires half the simulations. With regard to stochastic error, it was found that once a time step is sufficiently reduced, errors are mostly a function of the number of particles used during the simulation. The remaining variability is due to how stochastic noise propagates through each numerical integrator. Using this information, a technique is developed to minimize the cost of running a depletion simulation.
author: Josey, Colin
language: eng
keywords: Nuclear Science and Engineering.
license: http://dspace.mit.edu/handle/1721.1/7582
date published: 2017
date modified: 2026-07-22T22:21:00Z
provider: MIT
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Massachusetts Institute of Technology

PropertyValue
property ID: Handle
value: http://hdl.handle.net/1721.1/113721