A fully analytic space-time depletion benchmark for fixed-source and eigenvalue calculations and its application to Monte Carlo simulation
Autor: | David P. Griesheimer, Gabriel Kooreman |
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Rok vydání: | 2019 |
Předmět: |
Neutron transport
Discretization Computer science 020209 energy Monte Carlo method 02 engineering and technology 01 natural sciences 010305 fluids & plasmas Nonlinear system Nuclear Energy and Engineering 0103 physical sciences Convergence (routing) 0202 electrical engineering electronic engineering information engineering Benchmark (computing) Applied mathematics Temporal discretization Eigenvalues and eigenvectors |
Zdroj: | Annals of Nuclear Energy. 127:99-110 |
ISSN: | 0306-4549 |
DOI: | 10.1016/j.anucene.2018.11.048 |
Popis: | Formal analysis of the convergence and stability of coupled neutron transport/depletion calculations is difficult due to the complicated nature of the nonlinear system of equations that must be solved. In this paper, we present a new benchmark problem for coupled neutron transport/depletion calculations along with its fully analytic solution. The benchmark problem – which we call the “Candlestick benchmark” because it models a progressive burnup from one end of a slab to another – is straightforward to implement and can be used to quantify the accuracy and stability of coupled transport/depletion calculations. Descriptions and solutions are provided for both a fixed-source and eigenvalue version of the benchmark. The Candlestick benchmark is a first-of-its-kind analytic solution to a nonlinear spatial depletion problem, and it is useful for the purpose of validating the solution methods used by reactor depletion solvers. As a demonstration of the usefulness of the Candlestick benchmark, we have used it to assess some of the convergence behaviors of Monte Carlo depletion calculations, including the effects of spatial discretization, temporal discretization, and stochastic error on the results of the calculation. |
Databáze: | OpenAIRE |
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