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Technical Papers

Calculating Alpha Eigenvalues and Eigenfunctions with a Markov Transition Rate Matrix Monte Carlo Method

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Pages 115-152 | Received 29 Apr 2018, Accepted 03 Jul 2018, Published online: 21 Sep 2018
 

Abstract

For a nuclear system in which the entire -eigenvalue spectrum is known, eigenfunction expansion yields the time-dependent flux response to any arbitrary source. Applications in which this response is of interest include pulsed-neutron experiments, accelerator-driven subcritical systems, and fast burst reactors, where a steady-state assumption used in neutron transport is invalid for characterizing the time-dependent flux. To obtain the -eigenvalue spectrum, the transition rate matrix method (TRMM) tallies transition rates describing neutron behavior in a discretized position-direction-energy phase space using Monte Carlo. Interpretation of the resulting Markov process transition rate matrix as the operator in the adjoint -eigenvalue problem provides an avenue for determining a large finite set of eigenvalues and eigenfunctions of a nuclear system. Results from the TRMM are verified using analytic solutions, time-dependent Monte Carlo simulations, and modal expansion from diffusion theory. For simplified infinite-medium and one-dimensional geometries, the TRMM accurately calculates eigenvalues, eigenfunctions, and eigenfunction expansion solutions. Applications and comparisons to measurements are made for the small fast burst reactor CALIBAN and the Fort St. Vrain high-temperature gas-cooled reactor. For large three-dimensional geometries, discretization of the large position-energy-direction phase space limits the accuracy of eigenfunction expansion solutions using the TRMM, but it can still generate a fair estimate of the fundamental eigenvalue and eigenfunction. These results show that the TRMM generates an accurate estimate of a large number of eigenvalues. This is not possible with existing Monte Carlo–based methods.

Acknowledgments

Funding for this work was provided by the U.S. Department of Energy (DOE) National Nuclear Security Administration Advanced Scientific Computing and Nuclear Criticality Safety programs and a U.S. Nuclear Regulatory Commission fellowship grant. The authors would also like to thank Ed Larsen for discussions on the infinite-medium multigroup problems, Drew Korneich for discussions on the GFM results used for benchmarking simple applications of the TRMM, and Benoit Richard for discussion on the fast burst reactor CALIBAN. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the DOE.

Notes

a In some literature, these are known as (CitationRef. 3), natural,Citation4 or timeCitation5 eigenvalues.

b The TRM is the continuous-time analog of the fission matrix, which has normalized probabilities describing induced fissions throughout the discretized position phase space.Citation35

c This allows for generating time-dependent solutions for any arbitrary initial source for the same system without recalculating eigenpairs.

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